WO2023124441A1

WO2023124441A1 - Noise reduction method, active noise control (anc) headrest system, and electronic device

Info

Publication number: WO2023124441A1
Application number: PCT/CN2022/126478
Authority: WO
Inventors: 欧阳山; 李玉龙; 郑成诗; 张芳杰
Original assignee: 华为技术有限公司
Priority date: 2021-12-29
Filing date: 2022-10-20
Publication date: 2023-07-06
Also published as: CN116416960A

Abstract

A noise reduction method, an active noise control (ANC) headrest system, and an electronic device. The method comprises: first, acquiring a first noise signal (S301); then filtering the first noise signal on the basis of a first filter coefficient to obtain a first acoustic signal (S303), the first filter coefficient being determined by combining acoustic paths separately from k ANC headrests (H1-H4) to M preset quiet zones (QZ1-QZ5), the first acoustic signal comprising k groups of signals, the K groups of signals respectively corresponding to the k ANC headrests (H1-H4), k being an integer greater than 1, and M being an integer greater than K; and then, controlling a secondary loudspeaker in the k ANC headrests (H1-H4) to output the k groups of signals so as to generate M quiet zones (QZ1-QZ5) (S304). In this way, M quiet zones (QZ1-QZ5) can be generated by combining the k ANC headrests (H1-H4), so that quiet zones (QZ1-QZ5) can be generated on seats other than the seats where the ANC headrests (H1-H4) are arranged.

Description

Noise reduction method, active noise control ANC headrest system and electronic equipment

This application claims the priority of the Chinese patent application filed with the State Intellectual Property Office of China on December 29, 2021, with the application number 202111634676.2, and the title of the application is "Noise Reduction Method, Active Noise Control ANC Headrest System and Electronic Equipment", The entire contents of which are incorporated by reference in this application.

technical field

The embodiments of the present application relate to the field of audio processing, and in particular to a noise reduction method, an active noise control ANC headrest system and electronic equipment.

Background technique

Active Noise Control (ANC) headrests have the characteristics of small size, light weight, and effective control of low-frequency noise. They are widely used in aircraft cabins, automobile interiors, and high-speed rail interiors for active noise control.

However, the ANC headrest can only generate a quiet zone in the seat where it is arranged, and cannot take into account other seats.

Contents of the invention

In order to solve the above technical problems, the present application provides a noise reduction method, an active noise control ANC headrest system and electronic equipment. In this method, k ANC headrests are combined to generate M silent zones, wherein M is greater than k, so that silent zones can be generated on seats other than the seats where the ANC headrests are arranged.

In a first aspect, an embodiment of the present application provides a noise reduction method, the method includes: first, acquiring a first noise signal; then, filtering the first noise signal based on a first filter coefficient to obtain a first acoustic signal; The first filter coefficient is determined jointly with the acoustic paths from k active noise control ANC headrests to M preset silent zones; the first acoustic signal includes k groups of signals, and the k groups of signals correspond to k ANC headrests respectively , k is an integer greater than 1, and M is an integer greater than k; then, control the secondary speakers in k ANC headrests to output k groups of signals to generate M silent zones. In this way, by combining k ANC headrests to generate M silent zones, it is possible to generate silent zones on seats other than the seats where the ANC headrests are arranged.

Exemplarily, the silent zone may refer to an area where the noise reduction amount is greater than the preset noise reduction amount, and the preset noise reduction amount may be set as required, such as 10dB, which is not limited in the present application.

Exemplarily, the noise reduction method can be applied to various scenarios that require noise reduction, such as vehicles, airplanes, trains, and ships, and the present application does not limit this. This application is described by taking the application to vehicles as an example.

Exemplarily, the first noise signal may be a signal collected by an error microphone in the ANC headrest, or may be a signal collected by a reference microphone.

Exemplarily, the first filter coefficient may be a fixed value, or may be adaptively adjusted. For example, the first filter coefficient is adaptively adjusted in an iterative manner.

According to the first aspect, the acoustic parameters are acquired, and the acoustic parameters are used to describe the acoustic paths from the k ANC headrests to the M preset quiet zones respectively; based on the acoustic parameters, the first filter coefficient is updated. In this way, the updated first filter coefficient can be used subsequently to filter the acquired first noise signal.

Exemplarily, the acoustic parameters include transfer functions of the k ANC headrests to the M preset silent zones respectively. The transfer functions of k ANC headrests to M preset silent zones respectively may include: the transfer functions of each secondary speaker in the k ANC headrests to the preset human ear positions in M preset silent zones respectively, k The transfer function of each error microphone in the ANC headrest to the preset human ear position in M preset silent zones, the transfer function of each sub-speaker in k ANC headrests to each error microphone in k ANC headrests .

Exemplarily, the transfer functions from each secondary speaker in the k ANC headrests to the M preset human ear positions may include P1, where P1=p1*M*2, where p1 is the secondary speaker in the k ANC headrests The total number of level speakers, wherein each of the M preset human ear positions includes the positions of two ears.

Exemplarily, the transfer functions from each error microphone in the k ANC headrests to the M preset human ear positions may include P2, P2=p2*M*2, where p2 is the error microphone in the k ANC headrests total number of .

Exemplarily, the transfer functions from each secondary loudspeaker in the k ANC headrests to each error microphone in the k ANC headrests may include P3, P3=p1*p2.

According to the first aspect, or any implementation manner of the above first aspect, updating the first filter coefficient based on the acoustic parameters includes: based on the acoustic parameters and the error signal, predicting the first acoustic signal and the first noise signal at The second noise signal after M preset human ear positions are superimposed; the error signal is the signal collected by the error microphone in k ANC headrests, and the M preset human ear positions correspond to M preset silent zones respectively; based on the second The noise signal is used to update the first filter coefficient.

According to the first aspect, or any implementation manner of the above first aspect, filtering the first noise signal based on the first filter coefficient to obtain the first acoustic signal includes: using the first adaptive filter according to the first The filter coefficients filter the first noise signal to output the first acoustic signal.

According to the first aspect, or any implementation manner of the above first aspect, filtering the first noise signal based on the first filter coefficient to obtain the first acoustic signal includes: using the second adaptive filter according to the first The filter coefficient filters the first noise signal to output the second acoustic signal, the second acoustic signal includes p1 road signals, p1 is the total number of secondary speakers in k ANC headrests, and p1 is a positive integer; by decoupling filter The device filters the p3 signal in the second acoustic signal to output the third acoustic signal, the third acoustic signal includes the p3 signal, p3=p1-p2, p2 is the total number of error microphones in k ANC headrests, p2 is a positive integer; the first acoustic signal is determined based on another p2 channel signal in the second acoustic signal and the third acoustic signal.

According to the first aspect, or any implementation manner of the above first aspect, the first adaptive filter is an inverse filter.

According to the first aspect, or any implementation manner of the above first aspect, updating the first filter coefficient based on the second noise signal includes: determining the first reference signal based on the acoustic parameters and the first noise signal; A reference signal and a second noise signal are used to update the first filter coefficient.

According to the first aspect, or any implementation of the above first aspect, based on the acoustic parameters and the error signal, predict the second noise signal after the first acoustic signal and the first noise signal are superimposed at M preset human ear positions , including: determining the fourth acoustic signal based on the first parameter group in the acoustic parameters and the p2-way signals in the first acoustic signal, the first parameter group includes p2 secondary speakers and p2 errors in k ANC headrests The transfer function of the microphones to M preset silent zones, p2 is the total number of error microphones in the k ANC headrests; the other p3 signal in the first acoustic signal is filtered by the decoupling filter to output the fifth Acoustic signal; and based on the second parameter group and the fifth acoustic signal, determine the sixth acoustic signal, the second parameter group includes the transfer functions of p3 secondary speakers in k ANC headrests to M preset silent zones respectively, p3 =p1-p2, p1 is the total number of secondary speakers in k ANC headrests, p1 is greater than p2; based on the fourth acoustic signal and the sixth acoustic signal, determine the seventh acoustic signal; based on the first parameter set, the seventh acoustic signal signal and error signal to predict a second noise signal. In this way, the convergence speed of the first filter coefficient can be improved by decoupling the acoustic signal used for playback by the p2-way secondary speaker and the acoustic signal used for p3-way secondary speaker playback. In addition, the filter outputting the first acoustic signal is an inverse filter, and the convergence speed of adjusting the filter coefficients of the inverse filter is faster than adjusting the non-inverse filter.

According to the first aspect, or any implementation of the above first aspect, the first noise signal is processed based on the acoustic parameters and the decoupling filter to obtain the second reference signal; based on the second reference signal and the second noise signal , to update the first filter coefficient.

According to the first aspect, or any implementation manner of the above first aspect, the acoustic parameters are further used to describe the acoustic paths from at least one other secondary speaker to the M preset silent zones, and/or, at least one other error microphone to Acoustic paths of M preset silent zones; wherein, other secondary speakers are secondary speakers except the secondary speakers in the k ANC headrests, and other error microphones are one of the error microphones except the k ANC headrests external error microphone. That is, combine the acoustic paths of the k active noise control ANC headrests to the M preset silent zones respectively, and the acoustic paths of other secondary speakers and/or other error microphones to the M preset silent zones to determine the first Filter coefficient, which can increase the noise reduction effect.

According to the first aspect, or any implementation of the above first aspect, obtaining the acoustic parameters includes: determining the target quiet zone group, the target quiet zone group includes M target quiet zones; from multiple sets of preset acoustic parameters, find Acoustic parameters to match the target quiet zone group.

According to the first aspect, or any implementation method of the above first aspect, the target silent zone group is determined according to the user settings; in this way, the user can set the corresponding silent zone according to his height and the orientation relative to the ANC headrest, which can satisfy The user's individual needs enable users to obtain a better noise reduction experience.

According to the first aspect, or any implementation manner of the above first aspect, the image data collected by the image acquisition device is acquired; based on the image data, the target silent zone group is determined. In this way, the corresponding silent zone can be set according to the user's height and the orientation relative to the ANC headrest without manual setting by the user, which simplifies the user's operation while meeting the user's individual needs, so that the user can obtain a better noise reduction experience.

According to the first aspect, or any implementation of the above first aspect, k ANC headrests are applied to the vehicle, and the method further includes the step of obtaining the first filter coefficient: determining the current working condition of the vehicle; Among the filter coefficients, find the first filter coefficient that matches the current working condition. In this way, there is no need to adaptively update the first filter coefficient, which improves the real-time performance of noise reduction.

According to the first aspect, or any implementation of the above first aspect, the M preset silent zones include k first preset silent zones and n second preset silent zones, and the k first preset silent zones The zones correspond to k first seats respectively, the k first seats correspond to k ANC headrests respectively, and the n second preset mute zones correspond to n second seats respectively, M=n+k; the method also includes : judging whether there is a user at the second seat; when there is a user at the second seat, performing a step of filtering the first noise signal based on the first filter coefficient to obtain the first acoustic signal.

According to the first aspect, or any implementation of the above first aspect, when there is no user in the second seat, the first noise signals are respectively filtered based on k sets of second filter coefficients to obtain k sets of eighth acoustic signals , a set of second filter coefficients is determined according to the acoustic path from one ANC headrest to the corresponding first preset silent zone, k groups of eighth acoustic signals correspond to k ANC headrests respectively; control the secondary in k ANC headrests The loudspeaker is used to output k groups of eighth acoustic signals to generate k silent zones. In this way, when the filter coefficient is adaptively adjusted, when there is no user in the second seat, the secondary speakers in the k ANC headrests are independently controlled to output, which can improve the convergence speed of the filter coefficient.

In the second aspect, an embodiment of the present application provides an active noise control ANC headrest system, the ANC headrest system includes k ANC headrests and a controller, the ANC headrest includes a secondary speaker, and k is an integer greater than 1;

a controller, configured to obtain a first noise signal; filter the first noise signal based on a first filter coefficient to obtain a first acoustic signal; and control the secondary speakers in the k ANC headrests based on the first acoustic signal Output; the first filter coefficient is determined by combining the acoustic paths of k active noise control ANC headrests to M preset silent areas respectively; the first acoustic signal includes k group signals, k group signals and k ANC headrests Correspondingly, M is an integer greater than k; k secondary speakers of the ANC headrest are used to output k groups of signals to generate M silent zones.

Exemplarily, the first aspect and any implementation manner of the first aspect can be applied to the ANC headrest system.

Exemplarily, the ANC headrest system can be applied to various scenarios that require noise reduction, such as vehicles, airplanes, trains, and ships, which is not limited in the present application. The present application takes the vehicle ANC headrest system applied in the vehicle as an example for illustration.

According to a second aspect, an ANC headrest comprises at least two secondary speakers and at least two error microphones.

According to the second aspect, or any implementation of the above second aspect, the ANC headrest is a concave structure, and the ANC headrest includes a middle area, a first flange and a second flange;

at least one secondary speaker and at least one error microphone are disposed in the first flange of the ANC headrest;

At least one secondary speaker and at least one error microphone are disposed in the second flange of the ANC headrest;

The error microphone is used to collect the acoustic signal.

According to the second aspect, or any implementation manner of the above second aspect, at least one secondary speaker is arranged in the middle area of the ANC headrest. In this way, the noise reduction effect can be increased.

According to the second aspect, or any implementation manner of the above second aspect, the ANC headrest has a semi-concave structure, and the ANC headrest includes a middle area and a flange;

At least one secondary speaker and at least one error microphone are arranged in the flange of the ANC headrest;

At least one secondary speaker and at least one error microphone are arranged in the middle area of the ANC headrest;

The error microphone is used to collect the acoustic signal.

Exemplarily, in a vehicle scene, the ANC headrest on the left side of the rear seat may include a middle area and a left flange, and the ANC headrest on the right side of the rear seat may include a middle area and a right flange. The impact of the left and right ANC headrests on the comfort of the middle seat user in the rear seat, and facilitate the communication between the middle seat user and the seat users on both sides, thereby improving the user experience.

According to the second aspect, or any implementation manner of the above second aspect, the ANC headrest system further includes: other secondary speakers and/or other error microphones; wherein, the other secondary speakers are those in the k ANC headrests Secondary speakers other than the secondary speakers, other error microphones are error microphones other than the error microphones in the k ANC headrests. In this way, the noise reduction effect can be increased.

The second aspect and any implementation manner of the second aspect correspond to the first aspect and any implementation manner of the first aspect respectively. For technical effects corresponding to the second aspect and any implementation manner of the second aspect, reference may be made to the technical effects corresponding to the above-mentioned first aspect and any implementation manner of the first aspect, and details are not repeated here.

In a third aspect, an embodiment of the present application provides an electronic device, including: a memory and a processor, the memory is coupled to the processor; the memory stores program instructions, and when the program instructions are executed by the processor, the electronic device executes the first aspect or The noise reduction method in any possible implementation manner of the first aspect.

The third aspect and any implementation manner of the third aspect correspond to the first aspect and any implementation manner of the first aspect respectively. For the technical effects corresponding to the third aspect and any one of the implementation manners of the third aspect, refer to the above-mentioned first aspect and the technical effects corresponding to any one of the implementation manners of the first aspect, which will not be repeated here.

In a fourth aspect, the embodiment of the present application provides a chip, including one or more interface circuits and one or more processors; the interface circuit is used to receive signals from the memory of the electronic device and send signals to the processor, and the signals include memory Computer instructions stored in the computer; when the processor executes the computer instructions, the electronic device is made to execute the noise reduction method in the first aspect or any possible implementation manner of the first aspect.

The fourth aspect and any implementation manner of the fourth aspect correspond to the first aspect and any implementation manner of the first aspect respectively. For the technical effects corresponding to the fourth aspect and any one of the implementation manners of the fourth aspect, refer to the above-mentioned first aspect and the technical effects corresponding to any one of the implementation manners of the first aspect, and details are not repeated here.

In the fifth aspect, the embodiment of the present application provides a computer-readable storage medium. The computer-readable storage medium stores a computer program. When the computer program runs on a computer or a processor, the computer or processor executes the first aspect or the first aspect. A noise reduction method in any possible implementation of an aspect.

The fifth aspect and any implementation manner of the fifth aspect correspond to the first aspect and any implementation manner of the first aspect respectively. For the technical effects corresponding to the fifth aspect and any one of the implementation manners of the fifth aspect, refer to the technical effects corresponding to the above-mentioned first aspect and any one of the implementation manners of the first aspect, and details are not repeated here.

In a sixth aspect, an embodiment of the present application provides a computer program product, the computer program product includes a software program, and when the software program is executed by a computer or a processor, the computer or processor executes the first aspect or any possible method of the first aspect. The encoding method in the implementation.

The sixth aspect and any implementation manner of the sixth aspect correspond to the first aspect and any implementation manner of the first aspect respectively. For the technical effects corresponding to the sixth aspect and any one of the implementation manners of the sixth aspect, refer to the technical effects corresponding to the above-mentioned first aspect and any one of the implementation manners of the first aspect, and details are not repeated here.

Description of drawings

Figure 1a is a schematic diagram of an exemplary ANC headrest system;

Fig. 1 b is a schematic structural diagram of an exemplary ANC headrest;

Fig. 1c is a schematic diagram showing the positions of the secondary speaker and the error microphone in the ANC headrest;

Figure 1d is a schematic diagram showing the positions of the secondary speaker and the error microphone in the ANC headrest;

Figure 1e is a schematic structural diagram of an exemplary ANC headrest;

Fig. 1f is a schematic diagram showing the positions of the secondary speaker and the error microphone in the ANC headrest;

Fig. 1g is a schematic diagram showing the positions of the secondary speaker and the error microphone in the ANC headrest;

Fig. 2 is a schematic diagram of the denoising process exemplarily shown;

Fig. 3 is a schematic diagram of an exemplary denoising process;

FIG. 4 is a schematic diagram of an exemplary filter coefficient update process;

FIG. 5 is a schematic diagram of an exemplary virtual sensor algorithm framework;

FIG. 6 is a schematic diagram of an exemplary filter coefficient update process;

FIG. 7 is a schematic diagram of an exemplary virtual sensor algorithm framework;

Fig. 8a is a schematic diagram of an exemplary virtual sensor algorithm framework;

Fig. 8b is a schematic diagram of an exemplary virtual sensor algorithm framework;

Fig. 9a is a schematic diagram of an exemplary filter coefficient update process;

Fig. 9b is an exemplary schematic diagram showing the effect;

Fig. 10a is a schematic diagram of an interface of an electronic device exemplarily shown;

Fig. 10b is a schematic diagram of the position of the image acquisition device exemplarily shown;

Fig. 10c is a schematic diagram of the position of the image acquisition device exemplarily shown;

Fig. 11a is a schematic diagram showing the position of the ANC headrest;

Fig. 11b is a schematic diagram showing the position of the ANC headrest;

Fig. 11c is a schematic diagram of the positions of the secondary speaker and the error microphone exemplarily shown;

Fig. 11d is a schematic diagram showing the positions of the secondary speaker and the error microphone;

Fig. 11e is a schematic diagram showing the positions of the secondary speaker and the error microphone;

Fig. 11f is a schematic diagram showing the positions of the secondary speaker and the error microphone;

Fig. 12 is a schematic structural diagram of the device shown exemplarily.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

The term "and/or" in this article is just an association relationship describing associated objects, which means that there can be three relationships, for example, A and/or B can mean: A exists alone, A and B exist simultaneously, and there exists alone B these three situations.

The terms "first" and "second" in the description and claims of the embodiments of the present application are used to distinguish different objects, rather than to describe a specific order of objects. For example, the first target object, the second target object, etc. are used to distinguish different target objects, rather than describing a specific order of the target objects.

In the embodiments of the present application, words such as "exemplary" or "for example" are used as examples, illustrations or illustrations. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of the present application shall not be interpreted as being more preferred or more advantageous than other embodiments or design schemes. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete manner.

In the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more. For example, multiple processing units refer to two or more processing units; multiple systems refer to two or more systems.

The present application proposes an ANC headrest system, which may include a controller and D ANC headrests, and the controller communicates with the D ANC headrests in a wired or wireless manner. Wherein, D is an integer greater than 1.

Exemplarily, D ANC headrests may respectively correspond to D first seats, that is, one ANC headrest corresponds to one first seat. Exemplarily, each of the D ANC headrests can operate independently, so that each ANC headrest can generate a quiet zone in the corresponding first seat. Exemplarily, n second seats are arranged between two first seats among the k first seats, and the second seats are not equipped with ANC headrests; k ANC headrests corresponding to k first seats can be controlled jointly In operation, corresponding silent zones are generated on k first seats and n second seats (the total number of generated silent zones is M, M=k+n). In this way, a quiet zone can be created in seats without ANC headrests. Wherein, n is a positive integer, k is an integer greater than 1, and k may be less than or equal to D.

Wherein, the silent area may refer to an area where the noise reduction amount is greater than the preset noise reduction amount, and the preset noise reduction amount may be set as required, such as 10dB, which is not limited in this application.

Exemplarily, the ANC headrest system of the present application can be applied to various scenes requiring noise reduction such as vehicles, airplanes, trains, and ships, and the present application is not limited to this. This application uses an ANC headrest system applied in a vehicle as an example for illustration.

Fig. 1a is a schematic diagram of an exemplary ANC headrest system. Fig. 1a is an ANC headrest system applied in a vehicle, which may also be called a vehicle-mounted ANC headrest system.

Referring to Fig. 1a, an exemplary vehicle-mounted ANC headrest system may include four ANC headrests (that is, D=4): ANC headrest H1 for the driver, ANC headrest H2 for the passenger, ANC headrest H3 for the rear seat and ANC headrest for the rear seat The ANC headrest H4; wherein, the rear seat ANC headrest H3 and the rear seat ANC headrest H4 are the headrests of the seats on both sides of the rear seat.

Exemplarily, the driver's ANC headrest H1 can operate independently to generate a quiet zone QZ1 in the driver's seat. The co-pilot ANC headrest H2 can operate independently, creating a quiet zone QZ2 in the co-pilot seat. The ANC headrest H3 of the rear seat can operate independently, creating a quiet zone QZ3 on the left seat of the rear seat. The ANC headrest H4 of the rear seat can operate independently, and the quiet zone QZ4 is generated on the right side of the rear seat.

Exemplarily, the rear ANC headrest H3 and the rear ANC headrest H4 can work together to generate a quiet zone QZ3 on the left side of the rear seat, a quiet zone QZ4 on the right side of the rear seat, and a quiet zone in the middle of the rear seat Zone QZ5 (ie k=2, n=1). Among them, the main driver's seat, the co-driver's seat, the left seat of the rear seat and the right seat of the rear seat are the first seats, and the middle seat of the rear seat is the second seat.

It should be understood that Figure 1a is only an example of the vehicle-mounted ANC headrest system. When the vehicle includes more seats, D, k, and n of the vehicle-mounted ANC headrest system may be other values, which are not limited by the present application .

Exemplarily, each ANC headrest may include at least two secondary speakers and at least two error microphones. In the vehicle-mounted ANC headrest system, the number of secondary speakers in different ANC headrests may be the same or different; and the number of error microphones in different ANC headrests may be the same or different, which is not limited in this application. Wherein, the secondary loudspeaker is used to output the acoustic signal, and the error microphone is used to collect the acoustic signal.

Exemplarily, the ANC headrest of the vehicle-mounted ANC headrest system is a concave structure including flanges on both sides.

Fig. 1b is a schematic structural diagram of an exemplary ANC headrest.

Referring to FIG. 1 b , exemplary, each ANC headrest is a concave structure including flanges on both sides, and the concave structure may include a middle area 101 , a first flange 102 and a second flange 103 . Exemplarily, the angle between the first flange 102 and the centerline L of the middle region 101 can be adjusted, and the angle between the second flange 103 and the centerline L of the middle region 101 can be adjusted.

In a possible manner, no secondary speaker and error microphone are arranged in the middle area 101 of the ANC headrest, at least one secondary speaker and at least one error microphone are arranged in the first flange 102; at least one error microphone is arranged in the second flange 103 A secondary speaker and at least one error microphone.

Fig. 1c is a schematic diagram showing the positions of the secondary speaker and the error microphone in the ANC headrest exemplarily.

Referring to Fig. 1c, exemplary, the middle region 101 of the ANC headrest is not provided with a secondary speaker and an error microphone, and a secondary speaker and two error microphones are arranged in the first flange 102, wherein the two error microphones are respectively located in the secondary level speakers on both sides. A secondary speaker and two error microphones are disposed inside the second flange 103 , wherein the two error microphones are respectively located on two sides of the secondary speaker.

In a possible manner, at least one secondary speaker can be arranged in the middle area 101, at least one secondary speaker and at least one error microphone are arranged in the first flange 102; at least one secondary speaker and at least one error microphone are arranged in the second flange 103 An error microphone.

Fig. 1d is a schematic diagram showing the positions of the secondary speaker and the error microphone in the ANC headrest exemplarily.

Referring to Fig. 1d, exemplary, the middle region 101 of the ANC headrest is provided with two secondary speakers, and the first flange 102 is provided with a secondary speaker and two error microphones, wherein the two error microphones are located in the secondary The two sides of the primary speaker; a secondary speaker and two error microphones are arranged in the second flange, wherein the two error microphones are respectively located on both sides of the secondary speaker.

It should be understood that the number and positions of the secondary speakers and error microphones arranged in the middle area 101 of the ANC headrest, the first flange 102 and the second flange 103 can be determined according to the size of the ANC headrest, the size of the secondary speakers and the size of the error microphone and the settings required by the application scene, which are not limited in this application.

Exemplarily, part of the ANC headrest in the vehicle-mounted ANC headrest system has a concave structure including two side flanges, and part of the ANC headrest has a semi-concave structure including one side flange.

Fig. 1e is a schematic structural diagram of an exemplary ANC headrest.

Referring to Fig. 1e, exemplary, the ANC headrest H1 for the driver and the ANC headrest H2 for the passenger are concave structures including flanges on both sides, and the concave structures may include a middle area 101, a first flange 102 and a second convex edge103.

Referring to FIG. 1 e , exemplary, the rear ANC headrest H3 and the rear ANC headrest H4 are semi-concave structures including one flange. Wherein, the ANC headrest H3 of the rear seat may include a middle area 104 and a left flange 105 , and the angle between the left flange 105 and the center line L1 of the middle area 104 can be adjusted. The ANC headrest H4 of the rear seat may include a middle area 106 and a right side flange 107 , and the angle between the right side flange 107 and the center line L2 of the middle area 106 is adjustable. In this way, the influence of the ANC headrest of the rear seat on the comfort of the user in the middle seat of the rear seat can be reduced, and the communication between the user in the middle seat and the users in the seats on both sides can be facilitated, thereby improving the user experience.

Exemplarily, the quantity and positions of the secondary speakers and error microphones contained in the ANC headrest H1 for the driver and the ANC headrest H2 for the passenger can be as shown in FIG. 1c or 1d.

In a possible manner, at least one secondary speaker and at least one error microphone may be arranged in the middle region 104 of the ANC headrest H3 of the rear seat; at least one secondary speaker and at least one error microphone may be arranged in the left flange 105 .

In a possible manner, at least one secondary speaker and at least one error microphone may be arranged in the middle area 106 of the ANC headrest H4 of the rear seat; at least one secondary speaker and at least one error microphone may be arranged in the right flange 107 .

Fig. 1f is a schematic diagram showing the positions of the secondary speaker and the error microphone in the ANC headrest exemplarily.

Referring to Fig. 1f, exemplary, a secondary speaker and two error microphones can be arranged in the left flange 105 of the ANC headrest H3 of the rear seat, and the two error microphones are respectively located on both sides of the secondary speaker; The setup has a secondary speaker and an error microphone.

Referring to Fig. 1f, exemplary, a secondary speaker and two error microphones may be arranged in the right side flange 107 of the ANC headrest H4 of the rear seat, and the two error microphones are respectively located on both sides of the secondary speaker; The setup has a secondary speaker and an error microphone.

Fig. 1g is a schematic diagram showing the positions of the secondary speaker and the error microphone in the ANC headrest exemplarily.

Referring to Fig. 1g, exemplary, a secondary speaker and two error microphones can be arranged in the left flange 105 of the ANC headrest H3 of the rear seat, and the two error microphones are respectively located on both sides of the secondary speaker; The setup has two secondary speakers and an error microphone.

Referring to Fig. 1g, exemplary, a secondary speaker and two error microphones may be arranged in the right side flange 107 of the ANC headrest H4 of the rear seat, and the two error microphones are respectively located on both sides of the secondary speaker; The setup has two secondary speakers and an error microphone.

It should be understood that the number and positions of the secondary speakers and error microphones in the middle area of the rear seat ANC headrest, the left flange and the right flange can be determined according to the size of the ANC headrest, the size of the secondary speakers and the error The size of the microphone and the requirements of the application scene are determined, which is not limited in this application.

It should be noted that Fig. 1b to Fig. 1g are only examples of the ANC headrest, and the shape of the ANC headrest can be set according to requirements, which is not limited in the present application.

Exemplarily, the vehicle-mounted ANC headrest system may further include a controller. Exemplarily, the controller may be an independent ECU (Electronic Control Unit, electronic control unit) in the vehicle, or may be integrated in any existing ECU.

Exemplarily, the controller of the vehicle-mounted ANC headrest system can communicate with each ANC headrest through a CAN (Controller Area Network, Controller Area Network) bus. Exemplarily, the controller of the vehicle-mounted ANC headrest system can communicate with each ANC headrest through a wireless network.

Exemplarily, the controller may be configured to acquire a first noise signal; filter the first noise signal based on a first filter coefficient to obtain a first acoustic signal; and control k ANC headrests based on the first acoustic signal The secondary loudspeaker output in; the first filter coefficient is determined by combining the acoustic paths of k active noise control ANC headrests to M preset silent zones respectively; the first acoustic signal includes k groups of signals, and the k groups of signals and The k ANC headrests correspond to each other, and M is an integer greater than k; the specific process will be described later. k secondary speakers of the ANC headrest are used to output k groups of signals to generate M silent zones. That is, k ANC head restraints are controlled for joint operation.

Exemplarily, M preset silent zones may include k first preset silent zones and n second preset silent zones, k first preset silent zones correspond to k first seats respectively, and k The first seat corresponds to k ANC headrests respectively, and the n second preset silent zones correspond to n second seats respectively.

Exemplarily, the first preset silent zone may be set according to the ear position of the user sitting in the corresponding first seat (for example, the first preset silent zone is determined according to the average ear position of multiple users sitting in the first seat ). The second preset silent zone may be set according to the ear position of the user sitting in the corresponding second seat (for example, the second preset silent zone is determined according to the average ear position of multiple users sitting in the second seat).

Exemplarily, the M silent zones may include k silent zones for the first seats and n silent zones for the second seats.

Exemplarily, the controller may be configured to respectively filter the first noise signal based on D groups of second filter coefficients to obtain D groups of eighth acoustic signals, a group of second filter coefficients corresponding to the first preset Assume that the acoustic path in the silent zone is determined, and the eighth acoustic signal in group D corresponds to D ANC headrests respectively. and controlling secondary speaker outputs in the D ANC headrests based on the D set of eighth acoustic signals. D secondary speakers of the ANC headrest are used to output D groups of eighth acoustic signals to generate D silent zones. That is, D ANC headrests are controlled to operate independently, and silent zones are respectively generated in the D first seats.

The joint operation of k ANC headrests generates M silent zones as an example for illustration.

Fig. 2 is a schematic diagram of an exemplary noise reduction process.

S201. Acquire a first noise signal.

In a possible manner, a feed-forward ANC control algorithm may be used to control the k secondary speakers in the ANC headrests to output, so as to achieve noise reduction. Exemplary, the feed-forward ANC control algorithm controls the secondary speakers in the k ANC headrests to output based on the primary noise collected by the reference sensor. Wherein, the primary noise may be the noise generated by the primary sound source, and the primary sound source may refer to the sound source of the noise field to be controlled. For example, in a vehicle scene, primary noises may include various types, such as road noise, tire noise, engine noise, wind noise, and so on. The reference sensor may include various types, such as a microphone, an acceleration sensor, and the like. In the vehicle scene, the reference sensor can be set inside or outside the vehicle, which is not limited in the present application. In this case, the acquired first noise signal may be primary noise.

In a possible manner, a feedback ANC control algorithm may be used to control the k secondary speakers in the ANC headrests to output, so as to achieve noise reduction. Exemplarily, the feedback ANC control algorithm controls the output of the k secondary speakers in the ANC headrest based on the noise signal near the position of the human ear collected by the error microphone. Wherein, the noise signal collected by the error microphone may be referred to as an error signal. In this case, the acquired first noise signal may be an error signal.

S202. Filter the first noise signal based on the first filter coefficient to obtain a first acoustic signal.

In a possible manner, the k secondary speakers of the ANC headrest can be controlled to output the first acoustic signal, so that after the first acoustic signal propagates to the position of the human ear, it can be canceled out by the first noise signal at the position of the human ear , thereby achieving noise reduction.

Exemplarily, a filter may be used to filter the first noise signal according to the first filter coefficient, so as to obtain the first acoustic signal to be output by the secondary speakers in the k ANC headrests.

In a possible manner, the first filter coefficient may be adaptively adjusted. Wherein, each time the first noise signal obtained this time is filtered to obtain the first acoustic signal, and after controlling k ANC headrests to output the first acoustic signal, the first filter coefficient used in this filtering can be calculated renew. Wherein, the updated first filter coefficient this time can be used to filter the first noise signal acquired subsequently. That is to say, the first filter coefficient used for filtering the first noise signal acquired this time is the filter coefficient obtained by updating the first filter coefficient last time. Among them, the acoustic paths from k ANC headrests to M preset silent zones can be combined to update the filter coefficients, and the specific updating process will be described later.

In a possible manner, the first filter coefficient may be a fixed value. Among them, a variety of working conditions (referring to the working status of the equipment under conditions directly related to its action) can be preset, such as highway working conditions, rainy weather working conditions, urban road working conditions and so on. Then, for various working conditions, corresponding preset filter coefficients are determined; wherein, one working condition may correspond to a set of preset filter coefficients. Then, a second preset relationship is established based on various working conditions and corresponding preset filter coefficients. In this way, the current working condition of the vehicle can be determined, and then the second preset relationship can be searched based on the current working condition, so as to find out the first filter coefficient matching the current working condition from multiple sets of preset filter coefficients. Among them, for each working condition, the acoustic paths from k ANC headrests to M preset silent zones can be combined to determine the corresponding preset filter coefficients; details will be described later.

Exemplarily, the first acoustic signal includes k groups of signals, and one group of signals in the k groups of signals corresponds to one ANC headrest. Wherein, one group of signals may include pi (pi is an integer greater than 1) signal, and pi is the number of secondary speakers in an ANC headrest, that is, one signal corresponds to a secondary speaker in an ANC headrest.

S204. Control the secondary speakers in the k ANC headrests, and output k groups of signals to generate M silent zones.

Exemplarily, a control signal for driving a corresponding secondary speaker may be determined according to each signal in each group of signals; and then the secondary speaker is driven according to the control signal. Furthermore, the secondary speaker can output the signal. In this way, by controlling the joint operation of k ANC headrests, M silent zones can be generated to realize active noise reduction of M seats.

Exemplarily, in the silent zone generated by each seat among the M seats, the preset silent zone corresponding to the seat may completely overlap or partially overlap, which is not limited in the present application.

Fig. 3 is a schematic diagram of an exemplary noise reduction process.

S301. Acquire a first noise signal.

S302. Determine whether there is a user in the second seat.

Exemplarily, it may be determined whether there is a user in the second seat without an ANC headrest, and if there is a user in the second seat, a silent zone may be generated for the second seat, and S303-S304 may be executed at this time. When there is no user in the second seat, there is no need to generate a silent zone for the second seat, and S305-S306 can be executed at this time.

S303. Filter the first noise signal based on the first filter coefficient to obtain a first acoustic signal, where the first acoustic signal includes k groups of signals.

S304. Control the secondary speakers in the k ANC headrests, and output k groups of signals to generate M silent zones.

Exemplarily, for S303-S304, reference may be made to the description of S202-S203 above, which will not be repeated here.

S305. Filter the first noise signals respectively based on k sets of second filter coefficients to obtain k sets of eighth acoustic signals.

Exemplarily, when there is no user in the second seat, the k ANC headrests can operate independently. Wherein, each ANC headrest can correspond to a set of second filter coefficients, and the second filter coefficients corresponding to each ANC headrest can be based on the acoustics of the ANC headrest to the preset silent zone of the first seat corresponding to the ANC headrest. The path is determined.

Exemplarily, the manner of determining each group of second filter coefficients is similar to the manner of determining the first filter coefficients, which will not be repeated here.

Exemplarily, for each ANC headrest, the first noise signal may be filtered based on the second ANC coefficient corresponding to the ANC headrest, to obtain the eighth acoustic signal corresponding to the ANC headrest to be output; that is, it may be K groups of eighth acoustic signals are obtained, and one group of eighth acoustic signals corresponds to one ANC headrest. Wherein, each eighth acoustic signal includes at least two signals, and one signal corresponds to a secondary speaker in the corresponding ANC headrest.

S306. Control the secondary speakers in the k ANC headrests, and output k groups of eighth acoustic signals to generate k silent zones.

Exemplarily, for each ANC headrest, each secondary loudspeaker in the ANC headrest may be controlled to output each signal in a corresponding group of eighth acoustic signals.

In this way, when the filter coefficient is adaptively adjusted, when there is no user in the second seat, the secondary speakers in the k ANC headrests are independently controlled to output, which can improve the convergence speed of the filter coefficient.

How to update the first filter coefficient is described below as an example.

FIG. 4 is a schematic diagram of an exemplary update process of filter coefficients.

S401. Acquire acoustic parameters, where the acoustic parameters include transfer functions from k ANC headrests to M preset silent zones respectively.

Exemplarily, the transfer functions from k ANC headrests to M preset quiet zones respectively may be used to describe the acoustic paths from k ANC headrests to M preset silent zones respectively. In this way, the transfer functions of the k ANC headrests to the M preset silent zones respectively can be obtained as the acoustic parameters.

Exemplarily, the transfer functions of the k ANC headrests to the M preset silent zones respectively may include: the transfer of each secondary speaker in the k ANC headrests to the preset human ear positions in the M preset silent zones respectively function, the transfer function of each error microphone in the k ANC headrests to the preset human ear position in the M preset silent zones, the error of each sub-speaker in the k ANC headrests to the k ANC headrests respectively The transfer function of the microphone.

Exemplarily, the preset human ear position in the first preset silent zone may be set according to the human ear position of the user sitting in the corresponding first seat (for example, the average human ear position of multiple users who will sit in the first seat , determine the preset human ear position within the first preset silent zone). The preset ear positions in the second preset silent zone can be set according to the ear positions of users sitting in the corresponding second seat (for example, according to the average ear positions of multiple users sitting in the second seat, the second preset set the preset ear position within the quiet zone). That is to say, each preset silent zone corresponds to a preset human ear position, thus, M preset human ear positions may be included.

Exemplarily, the way to determine the transfer function from the i-th secondary speaker to the j-th preset human ear position in the k ANC headrests can be that a virtual microphone can be arranged at the j-th preset human ear position, and then control The i-th secondary speaker plays a test acoustic signal, and at this time, the virtual microphone performs acoustic signal acquisition. Then, according to the acoustic signal collected by the virtual microphone and the test acoustic signal, the transfer function from the i-th secondary speaker to the j-th preset human ear position is determined. i is an integer between 1 and p1, including 1 and p1. j is an integer between 1 and M, including 1 and M. Wherein, the determined transfer function from the i-th secondary speaker to the j-th preset human ear position includes the transfer functions from the i-th secondary speaker to the j-th preset human ear position respectively, that is Includes 2 transfer functions.

Exemplarily, the method of determining the transfer function from the i-th error microphone to the j-th preset human ear position in the k ANC headrests can be as follows: a virtual microphone can be arranged at the j-th preset human ear position, and the primary The sound source produces primary noise (for example, when it is applied in the vehicle environment, multiple speakers can be installed at the bottom of the vehicle to play tire noise, road noise, etc.). In this way, both the virtual microphone at the j-th preset position of the human ear and the i-th error microphone can collect acoustic signals; The collected acoustic signal is used to determine the transfer function from the i-th error microphone to the j-th preset human ear position. i is an integer between 1 and p2, including 1 and p2. j is an integer between 1 and M, including 1 and M.

Exemplarily, the way of determining the transfer function from the i-th secondary speaker to the j-th error microphone in the k ANC headrests may be to control the i-th secondary speaker to play a test acoustic signal, and at this time, the j-th The error microphone is used for acoustic signal acquisition. Then, according to the acoustic signal collected by the j-th error microphone and the test acoustic signal, the transfer function from the i-th secondary loudspeaker to the j-th error microphone is determined. i is an integer between 1 and p1, including 1 and p1. j is an integer between 1 and p2, including 1 and p2.

It should be noted that after the ANC is put into use, the virtual microphone that presets the position of the human ear will be removed.

Exemplarily, the first filter coefficient may be updated based on the acoustic parameter, and reference may be made to S402-S403:

S402. Based on the acoustic parameters and the error signal, predict the second noise signal after the first acoustic signal and the first noise signal are superimposed at M preset human ear positions; the error signal is the signal collected by the error microphone in k ANC headrests .

Exemplarily, after the secondary speakers in the k ANC headrests output k groups of signals, the first acoustic signal can be transmitted to M preset human ear positions; in this way, the M preset human ear positions can all receive the first acoustic signal An acoustic signal and a first noise signal. The first acoustic signal and the first noise signal can be canceled at the preset position of the human ear. When the signal after the cancellation of the first acoustic signal and the first noise signal is smaller, the noise reduction effect at the preset position of the human ear is better. Therefore, it is possible to predict the second noise signal after the first acoustic signal and the first noise signal are superimposed at M preset human ear positions, and then update the first filter coefficient based on the second noise signal.

Exemplarily, the noise signals collected by the error microphones in the k ANC headrests are the signals obtained by superimposing the first acoustic signal and the first noise signal at the error microphones in the k ANC headrests. Furthermore, the error signals collected by the error microphones of k ANC headrests can be obtained, and then based on the acoustic parameters and error signals, the second noise after the first acoustic signal and the first noise signal are superimposed at M preset human ear positions can be predicted Signal. Wherein, the first acoustic signal and the error signal may be calculated based on the acoustic parameters to predict the second noise signal.

S403. Update the first filter coefficient based on the second noise signal.

Exemplarily, the first filter coefficient may be updated with the goal of minimizing the second noise signal, so that the updated first filter coefficient is used to filter the subsequently acquired first noise signal, and the obtained first acoustic The second noise information after the superposition of the signal and the subsequently acquired first noise signal at the preset position of the human ear tends to be zero.

In a possible manner, a virtual sensor algorithm may be used to update the first filter coefficient.

Fig. 5 is a schematic diagram of an algorithm framework of a virtual sensor exemplarily shown. Among them, the virtual sensor algorithm in Figure 5 is a feed-forward FxLMS (filtered-x least mean square, X filter minimum mean square error) algorithm. It should be understood that FIG. 5 is only an example of a virtual sensor algorithm, and the virtual sensor algorithm may also be a feedback FxLMS algorithm, or other algorithms, which are not limited in this application.

Referring to FIG. 5 , for example, S1(z) represents the transfer function of the p1 secondary speakers in the k ANC headrests to the p2 error microphones in the k ANC headrests respectively, and S2(z) represents the k ANC headrests Among them, the transfer functions of the p1 secondary speakers to the M preset human ear positions respectively, and S3(z) is the transfer function of the p2 error microphones in the k ANC headrests to the M preset human ear positions respectively. P1(z) is the real acoustic path from the primary sound source to the p2 error microphones, and P2(z) is the real acoustic path from the first acoustic signal Y1(n) to the p2 error microphones. X1(n) is a first noise signal, which may be primary noise, and X5(n) is a second noise signal. Exemplarily, the filter used to filter the first noise signal may be a first adaptive filter, and the first adaptive filter may be filtered-x.

Referring to FIG. 5, for example, the first noise signal X1(n) can be input to the first adaptive filter, and the first adaptive filter filters the first noise signal X1(n) according to the first filter coefficient , output the first acoustic signal Y1(n). Wherein, Y1(n) includes the p1 channel signal.

Referring to FIG. 5, exemplary, based on the acoustic parameters and the error signal, the process of predicting the second noise signal after the first acoustic signal and the first noise signal are superimposed at the preset position of the human ear can be as follows:

Exemplarily, acoustic parameters may be used to predict the second noise signal X5(n) after the first noise signal X1(n) and the first acoustic signal Y1(n) pass through the virtual acoustic path. Wherein, X5(n) includes 2M channels of signals, and one of the M preset human ear positions corresponds to 2 channels of signals.

Exemplarily, after the p1 secondary speakers of k ANC headrests play the first acoustic signal Y1(n), Y1(n) passes through the real acoustic path from p1 secondary speakers to p2 error microphones, and can reach p2 at the arrival error microphone. And the first noise signal X1(n) of the primary sound source reaches the p2 error microphones through the real acoustic path P(z). Furthermore, the p2 error microphones can collect the corresponding error signal X2(n), and the error signal X2(n) is the superposition of the first acoustic signal Y1(n) and the first noise signal X1(n) at the p2 error microphones after the signal. Wherein, X1(n) includes B-way signal (when adopting feed-forward ANC control algorithm, B is the quantity of reference sensor; When adopting feedback ANC control algorithm, B is the quantity of error microphone, just B=p2), X2 (n) includes p2 signals, and the p2 signals correspond to p2 error microphones respectively.

Exemplarily, Y1(n) may be used as an input, and the transfer function S1(z) from p1 secondary speakers to p2 error microphones is used to calculate Y2(n) after Y1(n) passes through the first virtual acoustic path . Wherein, Y2(n) includes p2 signals, and the p2 signals correspond to p2 error microphones respectively. The first virtual acoustic paths refer to the estimated acoustic paths from the p1 secondary speakers to the p2 error microphones respectively.

Exemplarily, the error signal X2(n) collected by the error microphone can be used to subtract the predicted Y2(n), and the acoustic signal X3(n) of the first noise signal X1(n) propagating to p2 error microphones can be obtained . Wherein, X3(n) includes p2 signals, and the p2 signals correspond to p2 error microphones respectively.

Exemplarily, X3(n) can be used as an input, and the transfer function S2(z) of p2 error microphones to M preset human ear positions can be used to calculate X4( n). Wherein, X4(n) includes 2M channels of signals, and one of the M preset human ear positions corresponds to 2 channels of signals. The second virtual acoustic path refers to an acoustic path from the estimated p2 error microphones to the M preset human ear positions respectively.

Exemplarily, Y1(n) can be used as an input, and the transfer function S2(z) of p1 secondary speakers to M preset human ear positions can be used to calculate Y3 after Y1(n) passes through the third virtual acoustic path (n). Wherein, Y3(n) includes 2M channels of signals, and one of the M preset human ear positions corresponds to 2 channels of signals. The third virtual acoustic path refers to an acoustic path from the estimated p1 secondary speakers to the M preset human ear positions respectively.

Exemplarily, the signal X4(n) and the signal Y3(n) can be superimposed to obtain the second noise signal X5(n); X5(n) includes 2M signals, one of the M preset human ear positions It is assumed that the position of the human ear corresponds to 2 signals.

FIG. 6 is a schematic diagram of an exemplary update process of filter coefficients.

S601. Determine a first reference signal based on an acoustic parameter and a first noise signal.

Exemplarily, since the filter coefficient of the first adaptive filter=P(z)/S3(z) is optimal, therefore, the first noise signal X1(n) can be used as an input, and p1 secondary loudspeakers are used respectively To the transfer function S2(z) of the M preset human ear positions, the first reference signal R1(n) is calculated.

S602. Update the first filter coefficient based on the first reference signal and the second noise signal.

Exemplarily, in the whole process of updating the first filter coefficient, the first reference signal can be used as a reference, and the first filter coefficient can be updated with the goal of minimizing the second noise signal to obtain a new first filter coefficient coefficient. Exemplarily, the first filter coefficient may be updated in an iterative manner, and the following formula may be referred to:

W(n+1)=W(n)-μX5(n)R1(n)

Among them, W(n+1) is the first filter coefficient after this update, W(n) is the first filter coefficient after the last update, μ is the adaptive step size, which can be a preset fixed value or It may be a value obtained through adaptive adjustment, which is not limited in the present application.

Fig. 7 is a schematic diagram of an exemplary virtual sensor algorithm framework.

Referring to FIG. 7 , exemplary, A(z) is a decoupling filter, and S1(z) represents the transfer function of p1 secondary speakers in k ANC headrests to p2 error microphones in k ANC headrests respectively, S2(z) represents the transfer function of p1 secondary speakers in k ANC headrests to M preset human ear positions, and S3(z) is the transfer function of p2 error microphones in k ANC headrests to M presets respectively The transfer function for the position of the human ear. P1(z) is the real acoustic path from the primary sound source to the p2 error microphones, and P2(z) is the real acoustic path from the first acoustic signal Y1(n) to the p2 error microphones. X1(n) is a first noise signal, which may be primary noise, and X5(n) is a second noise signal. Exemplarily, the filter used to filter the first noise signal may be a second adaptive filter, and the second adaptive filter may be filtered-x.

Exemplarily, when the number p1 of secondary speakers in the k ANC headrests is greater than the number p2 of error microphones, the virtual sensor algorithm framework in FIG. 7 can be used to adaptively adjust the first filter coefficient to improve the first filter coefficient. The rate of convergence of the coefficients.

Exemplarily, the process of filtering the first noise signal based on the first filter coefficient to obtain the first acoustic signal may be as follows:

Exemplarily, the difference between the p1 secondary speakers in the k ANC headrests and the p2 error microphones in the k ANC headrests is p3, that is, p3=p1−p2, where p3 is a positive integer.

Exemplarily, the first noise signal X1(n) can be input to the second adaptive filter, and the second adaptive filter filters the first noise signal X1(n) according to the first filter coefficient, and outputs the second The acoustic signal U1(n), the second acoustic signal U1(n) includes p1 signals, and the p1 signals correspond to p1 secondary speakers respectively.

Exemplarily, the p2 sub-speakers and the p3 sub-speakers among the k ANC headrests may be decoupled, so as to increase the convergence speed of the first filter coefficient. Exemplarily, a decoupling filter may be used to decouple the p2 secondary speakers and the p3 secondary speakers among the k ANC headrests.

Referring to FIG. 7 , for example, the p3 channel signals that can be selected from the second acoustic signal U1(n) are subsequently represented by U12(n). Then U12(n) is input into the decoupling filter A(z), U12(n) is filtered by the decoupling filter A(z), and the third acoustic signal U13(n) is output. Wherein, U13(n) may include p3 signals, and the p3 signals respectively correspond to p3 secondary speakers.

Exemplarily, another p2 channel signal in the second acoustic signal U1(n) may be represented by U11(n). Combine U11(n) with the third acoustic signal U13(n) to obtain the first acoustic signal Y1(n), wherein the first acoustic signal Y1(n) includes p1 signals, p1 signals and p1 sub Level speakers correspond respectively.

Exemplarily, the first filter coefficient may be updated based on the acoustic parameters with reference to the above descriptions of S601 to S602 and FIG. 5 , which will not be repeated here.

Exemplarily, the acoustic parameters include: a first parameter group and a second parameter group, the first parameter group includes the transfer functions of p2 secondary speakers and p2 error microphones in the k ANC headrests to M preset silent zones respectively , the second parameter group includes transfer functions from the p3 secondary speakers in the k ANC headrests to the M preset silent zones.

Exemplarily, the first parameter set may include: transfer functions from the p2 secondary speakers to p2 error microphones respectively, transfer functions from the p2 secondary speakers to M preset human ear positions respectively, and transfer functions from the p2 error microphones to Transfer function for M preset ear positions.

Exemplarily, the second parameter group may include: transfer functions from the p3 secondary speakers to the p2 error microphones respectively, transfer functions from the p3 secondary speakers to M preset human ear positions respectively.

Fig. 8a and Fig. 8b are schematic diagrams of the virtual sensor algorithm framework shown exemplarily. Wherein, the first adaptive filter in Fig. 8a and Fig. 8b is an inverse filter.

Referring to Fig. 8a and Fig. 8b, exemplary, A(z) is a decoupling filter, Sa(z) includes: transfer function Sa1(z) of p2 secondary loudspeakers to p2 error microphones respectively, p2 secondary The transfer functions Sa2(z) of the loudspeakers to M preset human ear positions respectively. Exemplarily, Sb(z) includes: transfer functions Sb1(z) from p3 secondary speakers to p2 error microphones respectively, transfer functions Sb2(z) from p3 secondary speakers to M preset human ear positions respectively . S3(z) is the transfer function of the p2 error microphones to the M preset human ear positions respectively. Wherein, H(z) is a combination of A(z), Sa(z) and Sb(z). P1(z) is the real acoustic path from the primary sound source to the p2 error microphones, and P2(z) is the real acoustic path from the first acoustic signal Y1(n) to the p2 error microphones. X1(n) is a first noise signal, which may be primary noise, and X5(n) is a second noise signal.

Exemplarily, when the number p1 of the secondary speakers in the k ANC headrests is greater than the number p2 of the error microphones, the virtual sensor algorithm framework of FIG. 8a and FIG. 8b can be used to adjust the first filtering parameter of the first adaptive filter Adaptive adjustment is performed to further increase the convergence speed of the first filtering parameter.

Referring to FIG. 8a or FIG. 8b, for example, the first noise signal X1(n) can be input to the first adaptive filter, and the first adaptive filter processes the first noise signal X1(n) according to the first filter coefficient ) to filter and output the first acoustic signal Y1(n).

Fig. 9a is a schematic diagram of an exemplary update process of filter coefficients.

S901. Determine a fourth acoustic signal based on the first parameter group in the acoustic parameters and the p2 path signals in the first acoustic signal.

Referring to Figs. 8a and 8b, for example, p2 signals may be selected from the first acoustic signal Y1(n), called Y2(n).

Exemplarily, Y2(n) may be used as an input, and the transfer function Sa1(z) from p2 secondary speakers to p2 error microphones is used to calculate the acoustic signal U11( n). Wherein, U11(n) includes p2 signals, and the p2 signals correspond to p2 error microphones respectively. The fourth virtual acoustic path is an acoustic path from the estimated p2 secondary speakers to the p2 error microphones respectively.

Exemplarily, Y2(n) can be used as an input, and the transfer function Sa2(z) of p2 secondary speakers to M preset human ear positions can be used to calculate the acoustics of Y2(n) after passing through the fifth virtual acoustic path Signal U12(n). Wherein, U12(n) includes 2M channels of signals, and one of the M preset human ear positions corresponds to 2 channels of signals. The fifth virtual acoustic path is an acoustic path from the estimated p2 secondary speakers to the M preset human ear positions respectively.

Wherein, U11(n) and U12(n) may form the fourth acoustic signal U1(n).

S902. Filter another p3 channel signal in the first acoustic signal by a decoupling filter, and output a fifth acoustic signal.

S903. Determine a sixth acoustic signal based on the second parameter group in the acoustic parameters and the fifth acoustic signal.

Referring to Figs. 8a and 8b, for example, the other p3 signals in the first acoustic signal Y1(n) may be referred to as Y3(n).

Exemplarily, Y3(n) may be input to the decoupling filter A(z), and Y3(n) is filtered by the decoupling filter A(z), and the fifth acoustic signal Y4(n) is output.

Exemplarily, Y4(n) can be used as an input, and the transfer function Sb1(z) from p3 secondary speakers to p2 error microphones is used to calculate U21(n) output by Y3(n) through the sixth virtual acoustic path . Wherein, U21(n) includes p2 signals, and the p2 signals correspond to p2 error microphones respectively. The sixth virtual acoustic path is the estimated acoustic path from the p3 secondary speakers to the p2 error microphones respectively.

Exemplarily, Y3(n) can be used as an input, and the transfer function Sb2(z) from p3 secondary speakers to M preset human ear positions can be used to calculate U22 output by Y3(n) through the seventh virtual acoustic path (n). Wherein, U22(n) includes 2M channels of signals, and one of the M preset human ear positions corresponds to 2 channels of signals. The seventh virtual acoustic path is the estimated acoustic path from the p3 secondary speakers to the M preset human ear positions respectively.

Wherein, U21(n) and U22(n) may form the sixth acoustic signal U2(n).

S904. Determine a seventh acoustic signal based on the fourth acoustic signal and the sixth acoustic signal.

In a possible manner, the fourth acoustic signal and the sixth acoustic signal may be combined to obtain a seventh acoustic signal. Exemplarily, U11(n) in the fourth acoustic signal and U21(n) in the sixth acoustic signal can be combined to obtain U31(n), and U12(n) in the fourth acoustic signal can be combined Combined with U22(n) in the sixth acoustic signal, U32(n) can be obtained. Wherein, U31(n) and U32(n) may form the seventh acoustic signal U3(n). It should be noted that U31(n) and U32(n) are not shown in FIG. 8b.

S905. Predict the second noise signal based on the first parameter set, the seventh acoustic signal and the error signal.

Exemplarily, the error signal X2(n) can be used to subtract U31(n) in the seventh acoustic signal to obtain the acoustic signal X3(n) at which the first noise signal X1(n) propagates to p2 error microphones. Wherein, X3(n) includes p2 signals, and the p2 signals correspond to p2 error microphones respectively.

Exemplarily, X3(n) can be used as an input, and the transfer function S3(z) of p2 error microphones to M preset human ear positions is used to calculate the output X4( n). Wherein, X4(n) includes 2M channels of signals, and one of the M preset human ear positions corresponds to 2 channels of signals. The eighth virtual acoustic path is an acoustic path from the estimated p2 error microphones to the M preset human ear positions respectively.

Exemplarily, the second noise signal X5(n) can be obtained by superimposing U32(n) in the seventh acoustic signal with the acoustic signal X4(n).

S906. Process the first noise signal based on the acoustic parameters and the decoupling filter to obtain a second reference signal.

Exemplarily, according to the above S901-S904, the first noise signal X1(n) can be processed based on the acoustic parameters and the decoupling filter to obtain the second reference signal R2(n), which will not be repeated here.

S907. Update the first filter coefficient based on the second reference signal and the second noise signal.

Exemplarily, for S907, reference may be made to the description of S602 above, which will not be repeated here.

Fig. 9b is an exemplary schematic diagram showing the effect.

Referring to FIG. 9 b , for example, the curve A1 is a relationship curve between the energy of the second noise signal and the number of iterations of the first filter coefficient when the virtual sensor algorithm framework in FIG. 5 is used to update the first filter coefficient. Curve A2 is a relationship curve between the energy of the second noise signal and the number of iterations of the first filter coefficient when the virtual sensor algorithm framework in FIG. 7 is used to update the first filter coefficient. Curve A3 is a relationship curve between the energy of the second noise signal and the number of iterations of the first filter coefficient when the virtual sensor algorithm framework in FIG. 8a (or FIG. 8b ) is used to update the first filter coefficient. By comparison, it can be seen that the convergence speed of the first filter coefficient when the first filter coefficient is updated using the virtual sensor algorithm framework of Figure 8a (or Figure 8b) is greater than that of the first filter coefficient when the first filter coefficient is updated using the virtual sensor algorithm framework of Figure 7 The convergence speed is also greater than the convergence speed of the first filter coefficient when the first filter coefficient is updated using the virtual sensor algorithm framework in FIG. 5 .

It should be understood that, the manner of updating the second filter coefficient is similar to the manner of updating the first filter coefficient, and reference may be made to the above description, which will not be repeated here.

It should be understood that, for each working condition, the preset filtering coefficient corresponding to the working condition may be updated in the manner of updating the first filtering coefficient until the preset filtering coefficient corresponding to the working condition converges , that is, the preset filter coefficient corresponding to this working condition can be obtained, which will not be repeated here.

In one possible way, the acoustic parameters are fixed values.

In one possible way, the acoustic parameters are adjustable. Exemplarily, multiple preset silent zones can be set for each seat in advance (for example, for a seat, multiple preset silent zones are set on multiple planes perpendicular to the corresponding headrest of the seat, and each plane is set at least A preset silent zone), and set a corresponding preset ear position for each preset silent zone of each seat. For a preset silent zone of a seat, the transfer function of k ANC headrests to the preset silent zone can be determined by setting a virtual sensor at the preset ear position of the preset silent zone, and a set of preset Acoustic parameters; that is, each preset silent zone of each seat corresponds to a set of preset acoustic parameters; the specific method for determining the preset acoustic parameters can refer to the above description, and will not be repeated here.

Exemplarily, taking a preset silent zone of a seat, that is, the preset silent zone 1 as an example, the preset silent zone 1 corresponds to a set of preset acoustic parameters which may include: Set the transfer function of the silent zone 1, the transfer function of each error microphone in the k ANC headrests to the preset silent zone 1, and the transfer function of each secondary speaker in the k ANC headrests to each error microphone.

Exemplarily, one preset silent zone may be selected from multiple preset silent zones for each seat to form a preset silent zone group, and one preset silent zone group includes M preset silent zones. Then the union of a set of preset acoustic parameters corresponding to all preset quiet zones in each preset quiet zone group is determined as the preset acoustic parameters corresponding to the preset quiet zone group; then based on the preset quiet zone group A first preset relationship is established with the corresponding preset acoustic parameters.

In this way, the target silent zone group can be determined, and the silent zone group includes M target silent zones; wherein, the target silent zone group can be determined according to user settings, or can be determined according to the user's current ear position. Then, a first preset relationship is searched based on the target quiet zone group, so as to find an acoustic parameter matching the target quiet zone group from multiple sets of preset acoustic parameters.

Exemplarily, the user can interact with the electronic device to select a target silent zone from multiple preset silent zones corresponding to any seat (for example, select according to the height of the user, or select according to the orientation of the user's head relative to the ANC headrest) etc.); in this way, the target silent zone group can be determined according to user settings.

Fig. 10a is a schematic diagram of an interface of an electronic device exemplarily shown.

Referring to FIG. 10a(1), exemplary, T is a vehicle display screen, 1001 is a quiet zone setting interface, and the quiet zone setting interface 1001 may include one or more controls, including but not limited to: seat silent zone setting options ( Such as the quiet zone setting options for the main driver's seat, the quiet zone setting options for the passenger seat, the silent zone setting options for the left rear seat, the silent zone setting option for the middle seat in the rear seat, and the silent zone setting option for the right rear seat) . The user can click any seat silent zone setting option to enter the seat silent zone display interface to set the silent zone of the seat.

Exemplarily, the user clicks on the setting option of the silent zone in the middle of the rear seat, and the in-vehicle system responds to the user's operation behavior and displays the seat silent zone display interface 1002, as shown in FIG. 10a (2). The seat quiet zone display interface 1002 may include one or more controls, including but not limited to: quiet zone adjustment option 1003 and the like. In addition, the seat quiet zone display interface 1003 may also display a relative position diagram of the quiet zone and the seat, etc., which is not limited in this application. The user can drag the silent zone adjustment option 1003 to adjust the silent zone of the seat; after the user stops dragging the silent zone adjustment option 1003, the current area of the silent zone adjustment option 1003 can be determined as the target silent zone.

It should be noted that the user can set the target silent zone of some seats, so that for the seat for which the user has not set the target silent zone, the default silent zone is determined as the target silent zone of the seat; then the target silent zone set by the user and the default Silent zones, forming target silent zone groups. Exemplarily, the user can also set the target silent zone of all seats, so that all the target silent zones set by the user can be used to form the target silent zone group.

Exemplarily, the image data collected by the image acquisition device may be acquired; based on the image data, the target silent zone group is determined. Among them, face recognition can be performed on the image data, and then the current human ear position is determined according to the face recognition result; then the preset silent zone corresponding to the current human ear position is determined as the target silent zone.

It should be noted that when there are users in all seats, the target silent zone corresponding to each seat can be determined, and then the target silent zone group can be obtained. When there are no users in some seats, the default silent zone can be determined as the target silent zone of the seat; then the target silent zone determined by the image data and the default silent zone can be used to form a target silent zone group.

Exemplarily, the image acquisition device may be an in-vehicle camera that collects image data.

Fig. 10b is a schematic diagram of the location of the image acquisition device exemplarily shown.

Referring to Fig. 10b, for example, C1 may be a driving recorder, which may be used to collect images of the main driver and the co-driver. C2 is arranged on the back of the driver's seat (or the ANC headrest of the driver's seat or the roof of the car) and is set towards the rear seat, and is used to collect images of the left seat user and the middle seat user in the rear seat. C3 is arranged on the back of the co-pilot seat (or the ANC headrest of the co-pilot seat or the roof of the car) and is set towards the rear seat, and is used to collect images of the right seat user and the middle seat user in the rear seat.

Fig. 10c is a schematic diagram of the location of the image acquisition device exemplarily shown.

Referring to Fig. 10c, for example, C1 is arranged on the back of the main driver's seat (or the ANC headrest of the main driver's seat or the roof) and is set towards the main driver's seat, and can be used to collect images of the main driver's user. C2 is arranged on the back of the co-pilot seat (or the ANC headrest of the co-pilot seat or the roof) and is set facing the co-pilot seat, and can be used to collect images of the co-pilot user. C3 is arranged on the backrest of the rear left seat (or the ANC headrest or the roof of the rear left seat) and is set towards the rear left seat. It can be used to collect the left seat users and Image of middle seat user. C4 is arranged on the back of the right seat in the rear row (or the ANC headrest or roof of the right seat in the rear row) and is set towards the left seat, which can be used to collect the right seat users and the middle seat in the rear seat The user's image.

It should be understood that Fig. 10b and Fig. 10c are only examples of the arrangement positions of the image acquisition devices, and the present application does not limit the arrangement positions of the image acquisition devices, as long as all the image acquisition devices can collect the images of users in each seat.

Fig. 11a and Fig. 11b are schematic diagrams showing the position of the ANC headrest exemplarily.

Referring to Fig. 11a and Fig. 11b, in a possible manner, the second seat may be provided with an auxiliary headrest H5. Wherein, the size of the auxiliary headrest is smaller than the ANC headrest of the first seat.

Exemplarily, the auxiliary headrest may be provided with at least one secondary speaker and/or at least one error microphone.

Fig. 11c is a schematic diagram showing the positions of the secondary speaker and the error microphone exemplarily.

Referring to Fig. 11c, for example, a secondary speaker and an error microphone are arranged in the auxiliary headrest.

It should be understood that the present application does not limit the number of secondary speakers and error microphones in the auxiliary headrest.

In a possible manner, at least one secondary speaker and/or at least one error microphone may be arranged on the seat back of the second seat; that is, the auxiliary headrest is not provided, but the secondary speaker and/or error microphone.

Fig. 11d is a schematic diagram showing the positions of the secondary speaker and the error microphone exemplarily.

Referring to Fig. 11d, for example, the seat back of the second seat is provided with a secondary speaker.

Fig. 11e is a schematic diagram showing the positions of the secondary speaker and the error microphone exemplarily.

Referring to Fig. 11e, for example, the seat back of the second seat is provided with an error microphone.

Fig. 11f is a schematic diagram showing the positions of the secondary speaker and the error microphone exemplarily.

Referring to Fig. 11f, for example, the seat back of the second seat is provided with a secondary speaker and an error microphone.

It should be understood that the present application does not limit the number and positions of the secondary speakers and the error microphones provided in the second seat.

Exemplarily, the secondary speakers other than the secondary speakers in the k ANC headrests may be referred to as other secondary speakers; and the secondary speakers except the error microphones in the k ANC headrests, called the error microphone.

In the scenario of Fig. 11d, the first filter coefficient is determined jointly with the acoustic paths from the k ANC headrests to the M preset silent zones respectively, and the acoustic paths from other secondary speakers to the M preset silent zones respectively. At this time, the acoustic parameters may include: the transfer functions of each secondary loudspeaker in the k ANC headrests to the preset human ear positions in the M preset silent zones, and the error microphones in the k ANC headrests respectively to M The transfer function of the preset ear position in the preset silent zone, the transfer function of each sub-speaker in k ANC headrests to each error microphone in k ANC headrests, and the transfer function of other sub-speakers to k ANCs respectively The transfer function of each error microphone in the headrest, and the transfer functions of other secondary speakers to M preset human ear positions respectively.

In the scenario of FIG. 11e , the first filter coefficient is determined by combining the acoustic paths of the k ANC headrests to the M preset silent zones respectively, and the acoustic paths of other error microphones to the M preset silent zones respectively. At this time, the acoustic parameters may include: the transfer functions of each secondary loudspeaker in the k ANC headrests to the preset human ear positions in the M preset silent zones, and the error microphones in the k ANC headrests respectively to M The transfer function of the preset human ear position in the preset silent zone, the transfer function of each sub-speaker in the k ANC headrests to each error microphone in the k ANC headrests, and the transfer function of each sub-speaker in the k ANC headrests Transfer functions from the loudspeaker to other error microphones, and transfer functions from the other error microphones to M preset human ear positions.

In the scenarios of Fig. 11c and Fig. 11f, the first filter coefficient is the acoustic path of joint k ANC headrests to M preset silent zones respectively, and the acoustic paths of other secondary speakers to M preset silent zones respectively, and Acoustic paths from other error microphones to the M preset silent areas are determined. At this time, the acoustic parameters may include: the transfer functions of each secondary loudspeaker in the k ANC headrests to the preset human ear positions in the M preset silent zones, and the error microphones in the k ANC headrests respectively to M The transfer function of the preset human ear position in the preset silent zone, the transfer function of each sub-speaker in k ANC headrests to each error microphone in k ANC headrests, and the transfer function of other sub-speakers to k ANC heads The transfer functions of each error microphone in the pillow, the transfer functions of other secondary speakers to M preset ear positions, and the transfer functions of each secondary speaker in k ANC headrests to other error microphones, and the other error microphones respectively Transfer function to M preset ear positions.

In an example, FIG. 12 shows a schematic block diagram of an apparatus 1200 according to an embodiment of the present application. The apparatus 1200 may include: a processor 1201 and a transceiver/transceiving pin 1202 , and optionally, a memory 1203 .

Various components of the device 1200 are coupled together through a bus 1204, wherein the bus 1204 includes a power bus, a control bus, and a status signal bus in addition to a data bus. However, for clarity of illustration, the various buses are referred to as bus 1204 in the figure.

Optionally, the memory 1203 may be used for the instructions in the foregoing method embodiments. The processor 1201 can be used to execute instructions in the memory 1203, and control the receiving pin to receive signals, and control the sending pin to send signals.

Apparatus 1200 may be the electronic device or the chip of the electronic device in the foregoing method embodiments.

Wherein, all relevant content of each step involved in the above-mentioned method embodiment can be referred to the function description of the corresponding function module, and will not be repeated here.

This embodiment also provides a computer-readable storage medium, where computer instructions are stored in the computer-readable storage medium, and when the computer instructions are run on the electronic device, the electronic device executes the above-mentioned relevant method steps to realize the steps in the above-mentioned embodiments. Noise reduction method.

This embodiment also provides a computer program product, which, when running on a computer, causes the computer to execute the above-mentioned related steps, so as to realize the noise reduction method in the above-mentioned embodiment.

In addition, an embodiment of the present application also provides a device, which may specifically be a chip, a component or a module, and the device may include a connected processor and a memory; wherein the memory is used to store computer-executable instructions, and when the device is running, The processor can execute the computer-executable instructions stored in the memory, so that the chip executes the noise reduction method in the above method embodiments.

Wherein, the electronic device, computer-readable storage medium, computer program product or chip provided in this embodiment is all used to execute the corresponding method provided above, therefore, the beneficial effects it can achieve can refer to the above-mentioned The beneficial effects of the corresponding method will not be repeated here.

Through the description of the above embodiments, those skilled in the art can understand that for the convenience and brevity of the description, only the division of the above-mentioned functional modules is used as an example for illustration. In practical applications, the above-mentioned functions can be assigned by different Completion of functional modules means that the internal structure of the device is divided into different functional modules to complete all or part of the functions described above.

In the several embodiments provided in this application, it should be understood that the disclosed devices and methods may be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of modules or units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or It may be integrated into another device, or some features may be omitted, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms.

A unit described as a separate component may or may not be physically separated, and a component shown as a unit may be one physical unit or multiple physical units, which may be located in one place or distributed to multiple different places. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

Any content of each embodiment of the present application, as well as any content of the same embodiment, can be freely combined. Any combination of the above contents is within the scope of the present application.

If an integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the software product is stored in a storage medium Among them, several instructions are included to make a device (which may be a single-chip microcomputer, a chip, etc.) or a processor (processor) execute all or part of the steps of the methods in various embodiments of the present application. The aforementioned storage medium includes: various media that can store program codes such as U disk, mobile hard disk, read only memory (ROM), random access memory (random access memory, RAM), magnetic disk or optical disk.

The embodiments of the present application have been described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementations. The above-mentioned specific implementations are only illustrative and not restrictive. Those of ordinary skill in the art will Under the inspiration of this application, without departing from the purpose of this application and the scope of protection of the claims, many forms can also be made, all of which belong to the protection of this application.

The steps of the methods or algorithms described in connection with the disclosure of the embodiments of the present application may be implemented in the form of hardware, or may be implemented in the form of a processor executing software instructions. The software instructions can be composed of corresponding software modules, and the software modules can be stored in random access memory (Random Access Memory, RAM), flash memory, read-only memory (Read Only Memory, ROM), erasable programmable read-only memory ( Erasable Programmable ROM, EPROM), Electrically Erasable Programmable Read-Only Memory (Electrically EPROM, EEPROM), registers, hard disk, removable hard disk, CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be a component of the processor. The processor and storage medium can be located in the ASIC.

Those skilled in the art should be aware that, in the foregoing one or more examples, the functions described in the embodiments of the present application may be implemented by hardware, software, firmware or any combination thereof. When implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer-readable storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.

Claims

A noise reduction method, characterized in that the method comprises:

obtaining a first noise signal;

The first noise signal is filtered based on the first filter coefficient to obtain the first acoustic signal; the first filter coefficient is the acoustics of joint k active noise control ANC headrests to M preset silent zones respectively The path is determined; the first acoustic signal includes k groups of signals, the k groups of signals correspond to the k ANC headrests respectively, k is an integer greater than 1, and M is an integer greater than k;

controlling the secondary speakers in the k ANC headrests to output the k groups of signals to generate M silent zones.
The method according to claim 1, characterized in that said method further comprises:

Acquiring acoustic parameters, the acoustic parameters are used to describe the acoustic paths from the k ANC headrests to the M preset silent zones respectively;

Based on the acoustic parameter, the first filter coefficient is updated.
The method according to claim 2, wherein said updating said first filter coefficient based on said acoustic parameter comprises:

Based on the acoustic parameters and the error signal, predict the second noise signal after the first acoustic signal and the first noise signal are superimposed at M preset human ear positions; the error signal is the k ANC The signal collected by the error microphone in the headrest, the M preset human ear positions correspond to the M preset silent zones respectively;

The first filter coefficient is updated based on the second noise signal.
The method according to claim 3, wherein the filtering the first noise signal based on the first filter coefficient to obtain a first acoustic signal comprises:

The first noise signal is filtered by a first adaptive filter according to the first filter coefficient to output the first acoustic signal.
The method according to claim 3, wherein the filtering the first noise signal based on the first filter coefficient to obtain a first acoustic signal comprises:

The first noise signal is filtered by the second adaptive filter according to the first filter coefficient to output a second acoustic signal, the second acoustic signal includes p1 path signals, and p1 is the k ANC heads The total number of secondary speakers in the pillow, p1 is a positive integer;

The p3 signal in the second acoustic signal is filtered by the decoupling filter to output the third acoustic signal, the third acoustic signal includes the p3 signal, p3=p1-p2, and p2 is the k The total number of error microphones in the ANC headrest, p2 is a positive integer;

The first acoustic signal is determined based on the other p2-channel signal in the second acoustic signal and the third acoustic signal.
The method according to claim 4, wherein the first adaptive filter is an inverse filter.
The method according to claim 4 or 5, wherein said updating said first filter coefficient based on said second noise signal comprises:

determining a first reference signal based on the acoustic parameters and the first noise signal;

The first filter coefficient is updated based on the first reference signal and the second noise signal.
The method according to claim 6, wherein, based on the acoustic parameters and the error signal, predicting the superposition of the first acoustic signal and the first noise signal at M preset human ear positions A second noise signal comprising:

Determine a fourth acoustic signal based on the first parameter group in the acoustic parameters and the p2-way signals in the first acoustic signal, the first parameter group includes p2 sub-levels in the k ANC headrests The transfer function of loudspeaker and p2 error microphones to M preset silent zones respectively, p2 is the total number of error microphones in the k ANC headrests;

filtering the other p3 signals in the first acoustic signal by a decoupling filter to output a fifth acoustic signal; and determining a sixth acoustic signal based on the second parameter set and the fifth acoustic signal, The second parameter group includes the transfer functions of the p3 sub-speakers in the k ANC headrests to the M preset silent zones respectively, p3=p1-p2, and p1 is the sub-speaker in the k ANC headrests The total quantity, p1 is greater than p2;

determining a seventh acoustic signal based on the fourth acoustic signal and the sixth acoustic signal;

The second noise signal is predicted based on the first set of parameters, the seventh acoustic signal and the error signal.
The method according to claim 8, wherein said updating said first filter coefficient based on said second noise signal comprises:

processing the first noise signal based on the acoustic parameters and the decoupling filter to obtain a second reference signal;

The first filter coefficient is updated based on the second reference signal and the second noise signal.
The method according to any one of claims 2 to 9, characterized in that,

The acoustic parameters are also used to describe an acoustic path from at least one other secondary speaker to M preset silent zones, and/or, an acoustic path from at least one other error microphone to M preset silent zones;

Wherein, the other secondary speakers are secondary speakers other than the secondary speakers in the k ANC headrests, and the other error microphones are other than the error microphones in the k ANC headrests error microphone.
The method according to any one of claims 2 to 10, wherein said acquiring acoustic parameters comprises:

determining a target quiet zone group, the target quiet zone group including M target quiet zones;

From multiple sets of preset acoustic parameters, the acoustic parameters matching the target silent zone group are searched for.
The method according to claim 11, wherein said determining the target silent zone group comprises:

determining the target silent zone group according to user settings; or,

The image data collected by the image collection device is acquired; based on the image data, the target silent zone group is determined.
The method according to claim 1, wherein the k ANC headrests are applied to a vehicle, and the method further includes the step of obtaining the first filter coefficient:

determining a current operating condition of the vehicle;

Searching for the first filter coefficient matching the current working condition from multiple groups of preset filter coefficients.
The method according to any one of claims 1 to 13, wherein the M preset silent zones include k first preset silent zones and n second preset silent zones, and the k The first preset silent zone corresponds to k first seats respectively, the k first seats correspond to k ANC headrests respectively, and the n second preset silent zones correspond to n second seats respectively, M=n+ k;

The method also includes:

judging whether there is a user in the second seat;

When there is a user at the second seat, the step of filtering the first noise signal based on the first filter coefficient to obtain the first acoustic signal is performed.
The method according to claim 14, characterized in that the method further comprises:

When there is no user in the second seat, the first noise signal is respectively filtered based on k sets of second filter coefficients to obtain k sets of eighth acoustic signals, and a set of second filter coefficients is based on an ANC headrest to The acoustic path corresponding to the first preset silent zone is determined, and the k groups of eighth acoustic signals correspond to the k ANC headrests respectively;

controlling the secondary speakers in the k ANC headrests to output the k groups of eighth acoustic signals to generate k silent zones.
An active noise control ANC headrest system, characterized in that the ANC headrest system includes k ANC headrests and a controller, the ANC headrest includes a secondary speaker, and k is an integer greater than 1;

The controller is configured to acquire a first noise signal; filter the first noise signal based on a first filter coefficient to obtain a first acoustic signal; and control the k noise signals based on the first acoustic signal The secondary loudspeaker output in the ANC headrest; the first filter coefficient is determined in conjunction with the acoustic paths of k active noise control ANC headrests to M preset silent zones respectively; the first acoustic signal includes k A group of signals, the k groups of signals correspond to the k ANC headrests respectively, and M is an integer greater than k;

The k secondary speakers of the ANC headrest are used to output the k groups of signals to generate M silent zones.
The system of claim 16 wherein,

One of said ANC headrests includes at least two secondary speakers and at least two error microphones.
A system according to claim 16 or 17, characterized in that,

The ANC headrest is a concave structure, and the ANC headrest includes a middle area, a first flange and a second flange;

at least one secondary speaker and at least one error microphone are disposed in the first flange of the ANC headrest;

at least one secondary speaker and at least one error microphone are arranged in the second flange of the ANC headrest;

The error microphone is used for collecting acoustic signals.
The system of claim 18, wherein:

At least one secondary speaker is arranged in the middle area of the ANC headrest.
The system of claim 16 wherein,

The ANC headrest is a semi-concave structure, and the ANC headrest includes a middle area and a flange;

At least one secondary speaker and at least one error microphone are arranged in the flange of the ANC headrest;

At least one secondary speaker and at least one error microphone are arranged in the middle area of the ANC headrest;

The error microphone is used for collecting acoustic signals.
A system according to any one of claims 16 to 20, wherein,

The ANC headrest system also includes: other secondary speakers and/or other error microphones;

Wherein, the other secondary speakers are secondary speakers other than the secondary speakers in the k ANC headrests, and the other error microphones are other than the error microphones in the k ANC headrests error microphone.
An electronic device, characterized in that it comprises:

a memory and a processor, the memory being coupled to the processor;

The memory stores program instructions, and when the program instructions are executed by the processor, the electronic device is made to execute the noise reduction method performed in any one of claims 1 to 15.
A chip is characterized in that it includes one or more interface circuits and one or more processors; the interface circuit is used to receive signals from the memory of the electronic device and send the signals to the processors, the The signal includes computer instructions stored in a memory; when the processor executes the computer instructions, the electronic device is caused to perform the noise reduction method performed in any one of claims 1 to 15.
A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program, and when the computer program runs on a computer or a processor, the computer or the processor executes the The noise reduction method implemented in any one of claims 1 to 15.
A computer program product, characterized in that the computer program product includes a software program, and when the software program is executed by a computer or a processor, the steps of the method described in any one of claims 1 to 15 are executed.