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WO2024216532A1 - Procédé de filtrage, appareil de filtrage, puce et écouteur - Google Patents

Procédé de filtrage, appareil de filtrage, puce et écouteur Download PDF

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Publication number
WO2024216532A1
WO2024216532A1 PCT/CN2023/089150 CN2023089150W WO2024216532A1 WO 2024216532 A1 WO2024216532 A1 WO 2024216532A1 CN 2023089150 W CN2023089150 W CN 2023089150W WO 2024216532 A1 WO2024216532 A1 WO 2024216532A1
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WO
WIPO (PCT)
Prior art keywords
frequency band
signal
sound signal
energy
transparent filter
Prior art date
Application number
PCT/CN2023/089150
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English (en)
Chinese (zh)
Inventor
吴荣贵
王乐临
李国梁
王鑫山
Original Assignee
深圳市汇顶科技股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 深圳市汇顶科技股份有限公司 filed Critical 深圳市汇顶科技股份有限公司
Priority to PCT/CN2023/089150 priority Critical patent/WO2024216532A1/fr
Publication of WO2024216532A1 publication Critical patent/WO2024216532A1/fr

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R1/00—Details of transducers, loudspeakers or microphones
    • H04R1/10—Earpieces; Attachments therefor ; Earphones; Monophonic headphones
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R3/00—Circuits for transducers, loudspeakers or microphones

Definitions

  • Embodiments of the present application relate to the field of audio processing, and more specifically, to a filtering method, a filtering device, a chip, and a headset.
  • Headphones especially in-ear headphones, block most of the ambient sound when worn normally.
  • headphone wearers want to hear the ambient sound clearly in certain scenarios, so the headphones need to have a transparent mode.
  • the transparent mode of the headphones can use a transparent filter to lift the sound outside the headphones, thereby restoring the external sound inside the ear.
  • the transparent effect of the headphones directly affects the user's auditory experience. Therefore, how to improve the transparent effect of the headphones has become a problem that needs to be solved.
  • the embodiments of the present application provide a filtering method, a filtering device, a chip and headphones, which can improve the transparency effect of the headphones.
  • a filtering method is provided, which is applied to headphones with a transparent mode, the headphones comprising an external ear microphone, the sound signal collected by the external ear microphone comprising a signal of a first frequency band and a signal of a second frequency band, at least part of the frequency band in the first frequency band is lower than at least part of the frequency band in the second frequency band, the method comprising: processing the sound signal based on a first transparent filter to obtain a first filtered signal of the sound signal, the first transparent filter being a hardware transparent filter, and the gain of the first transparent filter for the signal of the first frequency band in the sound signal being greater than the gain of the first transparent filter for the signal of the second frequency band in the sound signal; performing background noise reduction processing on the sound signal, and processing the sound signal after background noise reduction based on a second transparent filter to obtain a second filtered signal of the sound signal, the second transparent filter being a software transparent filter, and the gain of the second transparent filter for the signal of the second frequency band in the sound signal after background noise reduction being
  • the software transparent filter includes, for example, an FIR filter or an IIR filter
  • the hardware transparent filter includes, for example, an FIR filter or an IIR filter.
  • the performing background noise reduction processing on the sound signal includes: acquiring a pre-estimated background noise signal; and determining the sound signal after background noise reduction according to the background noise signal and the sound signal.
  • the headset also includes a speaker and an in-ear microphone
  • the method also includes: determining a secondary transfer function based on an audio signal output by the speaker and an in-ear signal collected by the in-ear microphone; determining the first transparent filter based on an external ear signal collected by the external ear microphone when the headset is worn and a signal received in the ear when the headset is not worn.
  • the method also includes: determining energy values of multiple frequency bands of the sound signal; and adjusting the energy values of the multiple frequency bands of the compensation signal according to the energy values of the multiple frequency bands of the sound signal, so that the energy values of the multiple frequency bands of the compensation signal are less than or equal to energy thresholds corresponding to each of the multiple frequency bands.
  • the energy values of the multiple frequency bands of the compensation signal are adjusted separately according to the energy values of the multiple frequency bands of the sound signal, including: determining the adjustment amount corresponding to each frequency band according to the energy value of each frequency band in the multiple frequency bands of the sound signal and the energy threshold corresponding to each frequency band; and adjusting the energy value of each frequency band of the compensation signal according to the adjustment amount corresponding to each frequency band.
  • determining the adjustment amount corresponding to each frequency band based on the energy value of each frequency band in the multiple frequency bands of the sound signal and the energy threshold corresponding to each frequency band includes: determining the adjustment amount corresponding to each frequency band based on the difference between the energy value of each frequency band and the energy threshold corresponding to each frequency band.
  • the multiple frequency bands are frequency bands whose energy values exceed corresponding energy thresholds among N frequency bands of the sound signal, where N is a positive integer.
  • the method also includes: determining energy values of multiple frequency bands of the sound signal; the first transparent filter is also used to adjust the energy values of the multiple frequency bands of the sound signal so that the energy values of the multiple frequency bands of the first filtered signal are less than or equal to energy thresholds corresponding to each of the multiple frequency bands; the second transparent filter is also used to adjust the energy values of the multiple frequency bands of the sound signal after background noise reduction so that the energy values of the multiple frequency bands of the second filtered signal are less than or equal to energy thresholds corresponding to each of the multiple frequency bands.
  • the first transparent filter is specifically configured to, according to the energy value of each frequency band of the plurality of frequency bands of the sound signal and the energy threshold corresponding to each frequency band, Determine the adjustment amount corresponding to each frequency band, and adjust the energy value of each frequency band of the sound signal according to the adjustment amount corresponding to each frequency band;
  • the second transparent filter is specifically used to determine the adjustment amount corresponding to each frequency band according to the energy value of each frequency band in the multiple frequency bands of the sound signal after background noise reduction and the energy threshold corresponding to each frequency band, and adjust the energy value of each frequency band of the sound signal after background noise reduction according to the adjustment amount corresponding to each frequency band.
  • the first transparent filter is specifically used to determine the adjustment amount corresponding to each frequency band based on the difference between the energy value of each frequency band of the sound signal and the energy threshold corresponding to each frequency band; the second transparent filter is specifically used to determine the adjustment amount corresponding to each frequency band based on the difference between the energy value of each frequency band of the sound signal after background noise reduction and the energy threshold corresponding to each frequency band.
  • the multiple frequency bands are frequency bands whose energy values exceed corresponding energy thresholds among N frequency bands of the sound signal, where N is a positive integer.
  • the first frequency band is less than or equal to a preset first frequency threshold
  • the second frequency band is greater than or equal to a preset second frequency threshold
  • the first frequency threshold and the second frequency threshold are between 2 kHz and 3 kHz.
  • a filtering device which is applied to headphones with a transparent mode, the headphones comprising an external ear microphone, the sound signal collected by the external ear microphone comprising a signal of a first frequency band and a signal of a second frequency band, at least part of the frequency band in the first frequency band is lower than at least part of the frequency band in the second frequency band, the filtering device comprising: a first transparent filter, used to process the sound signal to obtain a first filtered signal of the sound signal, the first transparent filter is a hardware transparent filter, and the gain of the first transparent filter on the signal of the first frequency band in the sound signal is greater than the gain of the first transparent filter on the signal of the second frequency band in the sound signal; a processing module, used to perform background noise reduction processing on the sound signal; a second transparent filter, used to process the sound signal after background noise reduction to obtain a second filtered signal of the sound signal, the second transparent filter is a software transparent filter, and the gain of the second transparent filter on the signal of the second frequency band in
  • the processing module is further configured to determine a compensation signal of the earphone according to the first filtered signal and the second filtered signal.
  • the software transparent filter includes, for example, an FIR filter or an IIR filter.
  • the transmission filter includes, for example, a FIR filter or an IIR filter.
  • the processing module is specifically used to: obtain a pre-estimated background noise signal; and determine the sound signal after background noise reduction according to the background noise signal and the sound signal.
  • the earphone also includes a speaker and an in-ear microphone
  • the processing module is further used to: determine the secondary transfer function based on the audio signal output by the speaker and the in-ear signal collected by the in-ear microphone; determine the first transparent filter based on the external ear signal collected by the external ear microphone when the earphone is worn and the received signal in the ear when the earphone is not worn.
  • the processing module is also used to: determine the energy values of multiple frequency bands of the sound signal; and adjust the energy values of the multiple frequency bands of the compensation signal according to the energy values of the multiple frequency bands of the sound signal, so that the energy values of the multiple frequency bands of the compensation signal are less than or equal to the energy thresholds corresponding to each of the multiple frequency bands.
  • the processing module is specifically used to: determine the adjustment amount corresponding to each frequency band based on the energy value of each frequency band in the multiple frequency bands of the sound signal and the energy threshold corresponding to each frequency band; and adjust the energy value of each frequency band of the compensation signal based on the adjustment amount corresponding to each frequency band.
  • the processing module is specifically configured to determine the adjustment amount corresponding to each frequency band according to a difference between the energy value of each frequency band and an energy threshold corresponding to each frequency band.
  • the multiple frequency bands are frequency bands whose energy values exceed corresponding energy thresholds among N frequency bands of the sound signal, where N is a positive integer.
  • the first transparent filter is further used to adjust the energy values of the multiple frequency bands of the sound signal so that the energy values of the multiple frequency bands of the first filtered signal are less than or equal to the energy thresholds corresponding to each of the multiple frequency bands;
  • the second transparent filter is further used to adjust the energy values of the multiple frequency bands of the sound signal after background noise reduction so that the energy values of the multiple frequency bands of the second filtered signal are less than or equal to the energy thresholds corresponding to each of the multiple frequency bands.
  • the first transparent filter is specifically used to determine the adjustment amount corresponding to each frequency band according to the energy value of each frequency band in the multiple frequency bands of the sound signal and the energy threshold corresponding to each frequency band, and adjust the energy value of each frequency band of the sound signal according to the adjustment amount corresponding to each frequency band;
  • the second transparent filter is specifically used to According to the energy value of each frequency band in the multiple frequency bands of the sound signal after background noise reduction and the energy threshold corresponding to each frequency band, an adjustment amount corresponding to each frequency band is determined, and according to the adjustment amount corresponding to each frequency band, the energy value of each frequency band of the sound signal after background noise reduction is adjusted.
  • the first transparent filter is specifically used to determine the adjustment amount corresponding to each frequency band based on the difference between the energy value of each frequency band of the sound signal and the energy threshold corresponding to each frequency band; the second transparent filter is specifically used to determine the adjustment amount corresponding to each frequency band based on the difference between the energy value of each frequency band of the sound signal after background noise reduction and the energy threshold corresponding to each frequency band.
  • the multiple frequency bands are frequency bands whose energy values exceed corresponding energy thresholds among N frequency bands of the sound signal, where N is a positive integer.
  • the first frequency band is less than or equal to a preset first frequency threshold
  • the second frequency band is greater than or equal to a preset second frequency threshold
  • the first frequency threshold and the second frequency threshold are between 2 kHz and 3 kHz.
  • a chip comprising a processor and a memory, wherein the memory stores computer instructions, and the processor calls the computer instructions to enable the device to implement the filtering method described in the first aspect or any implementation method of the first aspect.
  • an earphone is provided with a transparency mode, the earphone comprising: a speaker; an external microphone; an internal microphone; and the filtering device described in the second aspect or any implementation of the second aspect, or the chip described in the third aspect.
  • a filtering method is provided, which is applied to headphones with a transparency mode, the headphones including an external ear microphone, and the method comprising: determining energy values of multiple frequency bands of sound signals collected by the external ear microphone; adjusting the energy values of the multiple frequency bands of the sound signal so that the energy values of the multiple frequency bands are less than or equal to energy thresholds corresponding to each of the multiple frequency bands.
  • the adjusting the energy values of the multiple frequency bands of the sound signal so that the energy values of the multiple frequency bands are less than or equal to the energy thresholds corresponding to each of the multiple frequency bands includes: processing the sound signal based on a transparent filter to obtain a filtered signal; wherein, the adjusting the energy values of the multiple frequency bands of the sound signal so that the energy values of the multiple frequency bands are less than or equal to the energy thresholds corresponding to each of the multiple frequency bands includes: adjusting the energy values of the multiple frequency bands of the filtered signal so that the energy values of the multiple frequency bands of the filtered signal are less than or equal to the energy thresholds corresponding to each of the multiple frequency bands.
  • the adjusting the energy values of the multiple frequency bands of the filtered signal so that the energy values of the multiple frequency bands of the filtered signal are less than or equal to energy thresholds corresponding to each of the multiple frequency bands includes: based on the transparent filter or another filter other than the transparent filter, adjusting the energy values of the multiple frequency bands of the filtered signal so that the energy values of the multiple frequency bands of the filtered signal are less than or equal to energy thresholds corresponding to each of the multiple frequency bands.
  • the adjusting the energy values of the multiple frequency bands of the filtered signal includes: determining an adjustment amount corresponding to each frequency band based on the energy value of each frequency band in the multiple frequency bands of the sound signal and an energy threshold corresponding to each frequency band, and adjusting the energy value of each frequency band of the sound signal based on the adjustment amount corresponding to each frequency band.
  • determining the adjustment amount corresponding to each frequency band based on the energy value of each frequency band in the multiple frequency bands of the sound signal and the energy threshold corresponding to each frequency band includes: determining the adjustment amount corresponding to each frequency band based on the difference between the energy value of each frequency band of the sound signal and the energy threshold corresponding to each frequency band.
  • the multiple frequency bands are frequency bands whose energy values exceed corresponding energy thresholds among N frequency bands of the sound signal, where N is a positive integer.
  • the first frequency band is less than a preset first frequency threshold
  • the second frequency band is greater than or equal to a preset second frequency threshold
  • the first frequency threshold and the second frequency threshold are between 2 kHz and 3 kHz.
  • a filtering device which is applied to headphones with a transparent mode, wherein the headphones include an external ear microphone for collecting sound signals.
  • the filtering device includes: a processing module for determining energy values of multiple frequency bands of the sound signal; and a filter module for adjusting the energy values of the multiple frequency bands of the sound signal so that the energy values of the multiple frequency bands are less than or equal to energy thresholds corresponding to the multiple frequency bands.
  • the filter module includes a transparent filter, which is used to: process the sound signal to obtain a filtered signal; wherein the transparent filter is also used to: adjust the energy values of the multiple frequency bands of the filtered signal so that the energy values of the multiple frequency bands of the filtered signal are less than or equal to the energy thresholds corresponding to the multiple frequency bands; or, the filter module further includes another filter other than the transparent filter, which is used to: receive the filtered signal and adjust the energy values of the multiple frequency bands of the filtered signal. The values are adjusted so that the energy values of the multiple frequency bands of the filtered signal are less than or equal to the energy thresholds corresponding to the multiple frequency bands respectively.
  • the transparent filter or the other filter is specifically used to: determine the adjustment amount corresponding to each frequency band according to the energy value of each frequency band in the multiple frequency bands of the sound signal and the energy threshold corresponding to each frequency band, and adjust the energy value of each frequency band of the compensation signal according to the adjustment amount corresponding to each frequency band.
  • the transparent filter or the another filter is specifically used to determine the adjustment amount corresponding to each frequency band according to the difference between the energy value of each frequency band and the energy threshold corresponding to each frequency band.
  • the multiple frequency bands are frequency bands whose energy values exceed corresponding energy thresholds among N frequency bands of the sound signal, where N is a positive integer.
  • a chip comprising a processor and a memory, wherein the memory stores computer instructions, and the processor calls the computer instructions to enable the device to implement the filtering method described in the fifth aspect or any implementation method of the fifth aspect.
  • an earphone is provided with a transparency mode, the earphone comprising: a speaker; an external microphone; an internal microphone; and the filtering device described in the sixth aspect or any implementation of the sixth aspect, or the chip described in the seventh aspect.
  • the first transparent filter and the second transparent filter are used to process the sound signal collected by the external microphone respectively.
  • the first transparent filter is a hardware transparent filter
  • the second transparent filter is a software transparent filter.
  • the passive isolation of the earphone to the high-frequency signal is strong, and a higher gain needs to be added to the high-frequency signal to lift it, resulting in the background noise being mainly concentrated in the high-frequency part.
  • the gain of the hardware transparent filter to the low- and medium-frequency signals in the sound signal is greater than the gain to the high-frequency signal, and the first filtered signal obtained is mainly composed of low- and medium-frequency signals; in addition, the sound signal is subjected to background noise reduction processing, and the gain of the software transparent filter to the high-frequency signal in the sound signal after background noise reduction is greater than the gain to the low- and medium-frequency signals.
  • the high-frequency signal after background noise reduction is mainly obtained in the second filtered signal, which can be used to compensate for the high-frequency signal in the first filtered signal.
  • the compensation signal of the earphone can be obtained by combining the first filtered signal and the second filtered signal.
  • the high-frequency signal in the second filtered signal is a signal after background noise reduction processing, the problem of large background noise in the compensation signal is solved.
  • the sound that the human ear hears is the result of the superposition of the sound processed by the transparent filter and the sound leaking to the human ear, when the wearer speaks to himself, the frequency of the human voice is concentrated in the middle and low frequencies.
  • the software transparent filter mainly processes the high-frequency signal and suppresses the middle and low-frequency signal. The signal can greatly reduce the processing delay of the software transparent filter on the sound signal, reduce the time difference between the processed sound and the sound leaked to the human ear, and reduce the sound distortion heard by the wearer.
  • FIG1 is a schematic flow chart of a filtering method according to an embodiment of the present application.
  • FIG. 2 is a schematic diagram of an earphone according to an embodiment of the present application.
  • FIG. 3 is a schematic diagram of a possible implementation of the method shown in FIG. 1 .
  • FIG. 4 is a schematic diagram of a first transparent filter in an earphone.
  • FIG. 5 is a schematic diagram of another possible implementation of the method shown in FIG. 1 .
  • FIG. 6 is a schematic diagram of another possible implementation of the method shown in FIG. 1 .
  • FIG. 7 is a schematic diagram of another possible implementation of the method shown in FIG. 1 .
  • FIG. 8 is a schematic diagram of a possible specific implementation of the method shown in FIG. 1 .
  • FIG. 9 is a schematic flow chart of a filtering method according to another embodiment of the present application.
  • FIG. 10 is a schematic block diagram of a filtering device according to an embodiment of the present application.
  • FIG. 11 is a schematic block diagram of a filtering device according to another embodiment of the present application.
  • the headphone's transparent mode can use the Hear Through (HT) filter to lift the sound outside the headphone, thereby restoring the external sound inside the ear.
  • HT Hear Through
  • this will also amplify the background noise of the headphone's internal circuit, causing the headphone's playback sound to carry a large background noise.
  • the microphone needs to have a very small transparent sound.
  • a large part of the input signal is the background noise of the circuit.
  • the input signal is amplified by the HT filter, making the sound of the background noise particularly obvious. Reducing the background noise of the circuit itself through a hardware circuit requires a higher cost, and it is also difficult to eliminate the background noise.
  • Noise is also one of the important factors that restrict the bandwidth of transparency.
  • the bandwidth of the headphones currently on the market is usually around 2KHz-3.5KHz.
  • a larger bandwidth can be achieved when designing the HT filter, and it can also be applied to hearing aids and other devices to solve the noise floor problem, which is less harmful to the human ear.
  • software transparency can be used to remove the circuit noise mixed in the input signal and reduce the noise to below the sound threshold that the human ear can hear. It can solve the problem of background noise to a certain extent, but software transparency has a greater delay than hardware transparency, which will cause the wearer of the headset to hear his or her own voice distorted when speaking. This is because there is a time difference between the compensating human voice emitted by the speaker of the headset and the human voice transmitted by bone conduction.
  • an embodiment of the present application provides a filtering method applied to headphones with a transparency mode, which processes the collected sound signals by combining software transparency and hardware transparency, thereby solving the above-mentioned background noise problem and sound distortion problem to a certain extent and improving the transparency effect of the headphones.
  • FIG. 1 is a schematic flow chart of a filtering method according to an embodiment of the present application.
  • the method 100 shown in FIG. 1 is applied to headphones with a transparent mode, for example, the headphones 10 shown in FIG. 2.
  • the headphones described in the embodiment of the present application should be understood in a broad sense, and include not only headphones in the traditional sense shown in FIG. 2, but also other types of sound players such as auxiliary or hearing aid devices.
  • the headphones 10 include a speaker 11, an external microphone 12, and an internal microphone 13.
  • the external microphone 12 can be called a feed forward (FF) microphone or a reference microphone, which is used to collect sound signals transmitted from outside the ear, or external ear data.
  • FF feed forward
  • the internal microphone 13 can be called a feedback (FB) microphone, which is used to collect sound signals in the ear, or internal ear data.
  • FB feedback
  • the sound signal collected by the external microphone 12 is processed by the transparent filter to output a compensation signal, and the residual signal leaking from the outside of the headphones 10 into the human ear is superimposed, so that the human ear can hear the sound of the complete external environment.
  • the user wears the earphone 10 to talk with other people, the user does not need to take off the earphone 10, but can directly switch the earphone 10 to the transparent mode to achieve a clear conversation with the other party.
  • the method 100 shown in FIG1 can be executed by a filtering device in the headset 10, for example, by a chip in the headset 10, such as an audio codec chip or a Bluetooth audio system chip (System on a Chip, SOC).
  • the sound signal collected by the external microphone 12 includes a signal of a first frequency band and a signal of a second frequency band. Among them, at least part of the frequency band in the first frequency band is lower than at least part of the frequency band in the second frequency band.
  • the first frequency band can be regarded as a medium and low frequency signal
  • the second frequency band can be regarded as a high frequency signal.
  • the first frequency band is less than or equal to a preset first frequency threshold
  • the second frequency band is greater than or equal to a preset second frequency threshold.
  • the first frequency threshold is, for example, between 2KHz and 3KHz
  • the second frequency threshold is, for example, between 2KHz and 3KHz.
  • the first frequency threshold and the second frequency threshold may be equal, for example, the first frequency threshold and the second frequency threshold are both 2.5KHz, or the first frequency threshold and the second frequency threshold are both 2.8KHz.
  • the first frequency threshold and the second frequency threshold may also be unequal, for example, the first frequency threshold is greater than the second frequency threshold, such as the first frequency threshold is 2.8KHz and the second frequency threshold is 2.5KHz; for another example, The first frequency threshold is smaller than the second frequency threshold.
  • the first frequency threshold is 2.5 KHz
  • the second frequency threshold is 2.8 KHz.
  • method 100 includes part or all of the following steps.
  • step 110 the sound signal collected by the external ear microphone 12 is processed based on the first transparent filter to obtain a first filtered signal of the sound signal.
  • the first transparent filter is a hardware transparent filter, also known as a hardware transparent module, which can amplify the gain of signals in a specific frequency band.
  • the hardware transparent filter is, for example, a hardware filter circuit.
  • the first transparent filter is used to suppress the signal in the second frequency band of the collected sound signal, that is, to transparently transmit the signal in the first frequency band, and the obtained first filtered signal is mainly composed of the signal in the first frequency band.
  • the gain of the first transparent filter on the signal in the first frequency band of the sound signal is greater than the gain of the first transparent filter on the signal in the second frequency band of the sound signal.
  • the gain of the first transparent filter for the signal of the first frequency band can be greater than 1, equal to 1, or less than 1.
  • the gain of the first transparent filter for the signal of the second frequency band can be greater than 1, equal to 1, or less than 1.
  • the gain When the gain is greater than 1, it indicates that the signal of the second frequency band is amplified, when the gain is less than 1, it indicates that the signal of the second frequency band is reduced, and when the gain is equal to 1, it indicates that the signal of the second frequency band is not amplified or reduced.
  • the gain of the first transparent filter for the signal of the first frequency band and the gain of the first transparent filter for the signal of the second frequency band are both greater than 1 or less than 1; or, the gain of the first transparent filter for the signal of the first frequency band is greater than 1, and the gain of the first transparent filter for the signal of the second frequency band is less than or equal to 1; or, the gain of the first transparent filter for the signal of the first frequency band is greater than or equal to 1, and the gain of the first transparent filter for the signal of the second frequency band is less than 1.
  • step 120 the sound signal collected by the external ear microphone 12 is subjected to background noise reduction processing, and the sound signal after background noise reduction is processed based on a second transparent filter to obtain a second filtered signal of the sound signal.
  • the second transparent filter is a software transparent filter, also known as a software transparent module.
  • the software transparent filter is a digital filter designed in the program, which can amplify the gain of the signal in a specific frequency band through a filtering algorithm.
  • the software transparent filter can include a finite impulse response (FIR) filter or an infinite impulse response (IIR) filter to perform software filtering on the sound signal after the background noise is eliminated;
  • the hardware transparent filter can include a finite impulse response (FIR) filter or an infinite impulse response (IIR) filter.
  • the sound signal collected by the external ear microphone 12 is filtered by hardware by means of an infinite impulse response (IIR) filter or the like.
  • the second transparent filter is used to suppress the signal of the first frequency band in the collected sound signal, that is, to transparently filter the signal of the second frequency band, and the obtained second filtered signal is mainly composed of the signal of the second frequency band.
  • the gain of the second transparent filter on the signal of the second frequency band in the sound signal is greater than the gain of the second transparent filter on the signal of the first frequency band in the sound signal.
  • the gain of the second transparent filter for the signal of the first frequency band can be greater than 1, equal to 1, or less than 1.
  • the gain of the second transparent filter for the signal of the second frequency band can be greater than 1, equal to 1, or less than 1.
  • the gain When the gain is greater than 1, it indicates that the signal of the second frequency band is amplified, when the gain is less than 1, it indicates that the signal of the second frequency band is reduced, and when the gain is equal to 1, it indicates that the signal of the second frequency band is not amplified or reduced.
  • the gain of the second transparent filter for the signal of the first frequency band and the gain of the second transparent filter for the signal of the second frequency band are both greater than 1 or less than 1; or, the gain of the second transparent filter for the signal of the first frequency band is less than or equal to 1, and the gain of the second transparent filter for the signal of the second frequency band is greater than 1; or, the gain of the second transparent filter for the signal of the first frequency band is less than 1, and the gain of the second transparent filter for the signal of the second frequency band is greater than 1.
  • a compensation signal of the earphone 10 is determined according to the first filtered signal output by the first transparent filter and the second filtered signal output by the second transparent filter.
  • a first transparent filter and a second transparent filter are used to process the sound signal collected by the external microphone 12 respectively.
  • the first transparent filter is a hardware transparent filter
  • the second transparent filter is a software transparent filter.
  • the passive isolation of the earphone 10 to the high-frequency signal is strong, and a higher gain needs to be added to the high-frequency signal to lift it, resulting in the background noise being mainly concentrated in the high-frequency part. Therefore, the hardware transparent filter has a greater gain for the mid- and low-frequency signals in the sound signal than for the high-frequency signals, and the obtained first filtered signal is mainly composed of mid- and low-frequency signals.
  • the software transparent filter mainly processes the high-frequency signal and suppresses the medium and low frequency signals, which can greatly reduce the processing delay of the software transparent filter on the sound signal, reduce the time difference between the processed sound and the sound leaked to the human ear, and reduce the sound distortion heard by the wearer.
  • the background noise signal is usually the background noise introduced by various circuits set between the external ear microphone 12 and the transparent filter, such as the analog to digital converter (ADC) circuit.
  • the headset 10 has strong passive isolation for high-frequency signals. Whether a hardware transparent filter or a software transparent filter is used, a higher gain needs to be added to the high-frequency signal to increase it, resulting in the background noise being mainly concentrated in the high-frequency part. Since the sound signal collected by the external ear microphone 12 is subjected to background noise reduction processing in step 120, the background noise carried in the high-frequency signal in the second filtered signal output by the second transparent filter is significantly reduced.
  • the sound signal is subjected to noise reduction processing, including: obtaining a pre-estimated noise floor signal; determining the sound signal after noise floor reduction based on the noise floor signal and the sound signal collected by the external ear microphone 12.
  • the noise floor signal can be obtained, for example, by experimental testing or the like.
  • the pre-estimated noise floor signal By using the pre-estimated noise floor signal to offset the part of the noise floor signal carried in the sound signal, the actual signal outside the external ear microphone 12 can be obtained.
  • the noise floor signal has an opposite sign to that of the sound signal, and by adding the noise floor signal to the sound signal, the noise floor signal can be removed from the sound signal.
  • the background noise estimation module outputs a pre-estimated background noise signal, and the sign of the background noise signal is negative.
  • the background noise signal By adding the background noise signal to the sound signal, the part of the background noise signal carried in the sound signal can be eliminated to obtain a sound signal with reduced background noise.
  • the medium and low frequency signals are suppressed, and a second filtered signal mainly composed of high frequency signals is output.
  • the background noise signal can be a fixed value; or, the background noise signal can be estimated in real time based on the sound signal currently collected by the external ear microphone 12. For example, the characteristics of the background noise signal are collected and counted, and a reference value of the background noise signal is preset.
  • the reference value can be obtained by, for example, expanding the background noise signal of the circuit in the frequency domain, and the reference value is adjusted according to the sound signal currently collected by the external ear microphone 12 to obtain an estimated value of the background noise signal, thereby realizing real-time estimation of the background noise signal.
  • the background noise is mainly concentrated in the high-frequency part, when the sound signal is lifted, the background noise will be amplified at the same time; if only a software transparent filter is used, although the corresponding background noise can be estimated by software and the background noise can be filtered out before the speaker 11 outputs the compensation signal, the software transparency has a greater delay than the hardware transparency. Since the sound that the human ear finally hears is formed by the superposition of the compensation sound processed by the transparent filter and the residual sound leaked to the human ear, the residual sound is physically transmitted and its delay can be ignored. If there is a large delay between the compensation sound input to the human ear and the residual sound leaked to the human ear, the wearer will hear the distortion of his own voice when speaking to himself.
  • the embodiment of the present application adopts a combination of hardware transparency and software transparency. Since the background noise is mainly concentrated in the high-frequency part, the high-frequency signal in the sound signal is suppressed by a hardware transparency filter and the mid- and low-frequency signals are transparent. This can avoid introducing more background noise of high-frequency signals.
  • the background noise in the sound signal is estimated (estimate noise floor), and the mid- and low-frequency signals in the sound signal after the background noise is reduced are suppressed by a software transparency filter and the high-frequency signal is transparent.
  • DSP hardware may be used for acceleration in the second transparent filter, and most of the code implementation may be written in assembly language to complete background noise filtering and transparent filtering in fewer instruction cycles, thereby achieving ultra-low latency.
  • the first filtered signal mainly composed of medium and low frequency signals output by the hardware transparent filter and the second filtered signal mainly composed of high frequency signals output by the software transparent filter can be combined to restore the signal of the entire frequency band.
  • the hardware transparent filter and the software transparent filter can complement each other, reducing the background noise in the compensation signal and reducing the time difference between the compensation signal and the residual signal.
  • the method 100 further includes: determining the secondary transfer function according to the audio signal output by the speaker 11 and the in-ear signal collected by the in-ear microphone 13; ...
  • the first transparent filter is determined by the external ear signal in the wearing state and the signal received in the ear when the earphone 10 is not worn.
  • the signal received in the ear when the earphone 10 is not worn refers to the signal collected from the ear when the earphone 10 is not worn.
  • an additional microphone can be used to collect the signal in the ear.
  • the ear signal collected by the ear microphone 13 is usually the signal collected by the ear microphone 13 in the earphone 10 when the earphone 10 is worn.
  • the design of the first transparent filter is specifically described in conjunction with FIG4.
  • the channel from the speaker 11 to the in-ear microphone 13 is a physical channel, and its modeling is called a secondary transfer function, denoted as SP.
  • the secondary transfer function is a transfer function representing the transfer function from the speaker 11 to the in-ear microphone 13, also known as a secondary path transfer function.
  • the purpose of transparency is to allow the wearer of the headset 10 to hear the sound of the outside world without passive isolation of the headset 10. In order to achieve this goal, it is necessary to compensate for the signal attenuated due to passive isolation, and output the compensation signal through the speaker 11.
  • the signal at the in-ear microphone 13 is consistent with the signal at the external ear microphone 12, so that the signal played by the speaker 11 when the headset 10 is worn is superimposed with the residual signal in the ear after the secondary transmission path, and the signal received in the ear when the headset 10 is not worn.
  • the path between the external ear microphone 12 and the speaker 11 is denoted as HT.
  • the signal collected in the ear when the earphone 10 is not worn is recorded as D
  • the size of the residual signal collected by the ear microphone 13 when the earphone 10 is worn is recorded as E
  • the signal collected by the external ear microphone 12 is recorded as FF, ignoring the difference between the position of the ear microphone 13 and the position of signal collection when the earphone 10 is not worn.
  • the first transparent filter needs to be designed to suppress high-frequency signals, so that the frequency band amplified by the hardware is concentrated in the middle and low frequencies.
  • the earphone 10 When the earphone 10 is in the transparent mode, although it is hoped to maintain a clear perception of the ambient sound, there are often loud noises in the environment, such as firecrackers, knocking sounds during construction, etc. The restoration of these sounds will cause sensory discomfort to the wearer, and too high a volume may exceed the limit of the audio system's expression, resulting in clipping problems.
  • the wearer In order to hear the ambient sound clearly, the wearer needs to turn on the transparent mode of the earphone. Turning on the transparent mode will restore all ambient sounds, while louder external sounds will cause ear discomfort. Turning off the transparent mode will isolate the earphone and effectively reduce the external noise from entering the eardrum, but it is not convenient for obtaining the ambient sound.
  • the present application also provides a solution for environmental self-adaptation and transparency, which can reduce the large The transparency of the volume band, while the sound details of other frequency bands can be restored in the ear to the greatest extent, which is especially important for headphones with good passive isolation effects.
  • method 100 also includes: obtaining energy values of multiple frequency bands of the sound signal collected by the external ear microphone 12; and adjusting the energy values of multiple frequency bands of the compensation signal according to the energy values of the multiple frequency bands of the sound signal, so that the energy values of the multiple frequency bands of the compensation signal are less than or equal to the energy thresholds corresponding to the multiple frequency bands.
  • the sound signal collected by the external microphone 12 is divided into multiple frequency bands, or multiple frequency bands, and the energy value of each frequency band is counted.
  • the energy value of each frequency band in the sound signal is adjusted respectively, so that the energy values of the multiple frequency bands of the compensation signal are less than or equal to their respective corresponding energy thresholds, thereby avoiding the external sound signal being too high to cause sensory discomfort to the wearer, and realizing adaptive processing of ambient sound.
  • the multiple frequency bands are, for example, frequency bands whose energy values exceed corresponding energy thresholds among the N frequency bands of the sound signal, where N is a positive integer. For frequency bands whose energy values do not exceed their corresponding energy thresholds, no adjustment may be performed.
  • the energy values of multiple frequency bands of the compensation signal are adjusted respectively according to the energy values of multiple frequency bands of the sound signal, including: determining the adjustment amount corresponding to each frequency band according to the energy value of each frequency band of the sound signal and the energy threshold corresponding to each frequency band; and adjusting the energy value of each frequency band of the compensation signal according to the adjustment amount corresponding to each frequency band.
  • the adjustment amount corresponding to each frequency band may be determined according to the difference between the energy value of each frequency band in the multiple frequency bands and the energy threshold corresponding to each frequency band. The larger the difference, the larger the adjustment amount; the smaller the difference, the smaller the adjustment amount.
  • the first filter signal and the second filter signal are combined to obtain a corresponding compensation signal, and the compensation signal can also be subjected to the above-mentioned adaptive processing.
  • the time domain signal collected by the external ear microphone 12 can be expanded in the frequency domain, and the effective frequency band of the sample can be divided into N frequency bands by, for example, an octave, and the energy peaks of the N frequency bands are counted, and the energy of multiple frequency bands whose energy peaks exceed the corresponding energy thresholds is adjusted.
  • the adjustment amount corresponding to the frequency band can be calculated according to the difference between the energy peak value of each frequency band in multiple frequency bands and its corresponding energy threshold, so as to adjust the energy value of the frequency band according to the adjustment amount, so that the energy value of the frequency band is suppressed below the corresponding energy threshold.
  • This process is also called subband suppression.
  • the external ear microphone 12 collects sound signals in real time, and can adjust the energy values of each frequency band in the compensation signal in real time according to the energy values of each frequency band in the real-time collected sound signals.
  • N frequency bands correspond to N energy thresholds respectively.
  • the energy values of the M frequency bands are adjusted according to the difference between the energy peak values of the M frequency bands of the sound signal and their corresponding energy thresholds.
  • the adjustment amount of the i-th frequency band among the M frequency bands can be equal to the difference between the energy peak value of the i-th frequency band and the energy threshold corresponding to the i-th frequency band, where i ranges from 1 to M, and the energy value of the i-th frequency band is adjusted according to the adjustment amount of the i-th frequency band.
  • the two software parts of software transparent processing and adaptive processing of ambient sound can also be combined into one software serial implementation.
  • the process of detecting the energy peak and estimating the adjustment amount can be completed before the second transparent filter performs software transparent processing on the sound signal.
  • method 100 also includes: obtaining energy values of multiple frequency bands of the sound signal collected by the external ear microphone 12; the first transparent filter is also used to adjust the energy values of multiple frequency bands of the sound signal so that the energy values of the multiple frequency bands of the first filtered signal are less than or equal to the energy thresholds corresponding to each of the multiple frequency bands; the second transparent filter is also used to adjust the energy values of multiple frequency bands of the sound signal after background noise reduction so that the energy values of the multiple frequency bands of the second filtered signal are less than or equal to the energy thresholds corresponding to each of the multiple frequency bands.
  • the first transparent filter can suppress the high-frequency signal in the sound signal and adjust the energy value of each frequency band in the sound signal, so that the output first filtered signal is mainly composed of medium and low frequency signals, and the energy of each frequency band in the first filtered signal is less than or equal to the corresponding energy threshold.
  • the second transparent filter can suppress the medium and low frequency signals in the sound signal after the background noise is reduced and adjust the energy value of each frequency band in the sound signal after the background noise is reduced, so that the output second filtered signal is mainly composed of high frequency signals, and the energy of each frequency band in the second filtered signal is less than or equal to the corresponding energy threshold.
  • the first transparent filter is specifically used to determine the adjustment amount corresponding to each frequency band according to the energy value of each frequency band of the sound signal and the energy threshold corresponding to each frequency band, and adjust the energy value of each frequency band of the sound signal according to the adjustment amount corresponding to each frequency band;
  • the second transparent filter is specifically used to determine the adjustment amount corresponding to each frequency band according to the energy value of each frequency band of the sound signal after background noise reduction and the energy threshold corresponding to each frequency band, and adjust the energy value of each frequency band of the sound signal after background noise reduction according to the adjustment amount corresponding to each frequency band.
  • the first transparent filter can determine the adjustment amount corresponding to each frequency band according to the difference between the energy value of each frequency band of the sound signal and the energy threshold corresponding to each frequency band; the second transparent filter can determine the adjustment amount corresponding to each frequency band according to the difference between the energy value of each frequency band of the sound signal after noise reduction and the energy threshold corresponding to each frequency band.
  • energy band suppression can also be achieved inside the first transparent filter and the second transparent filter.
  • the suppression of the energy value of each frequency band can be directly achieved in the design of the first transparent filter and the second transparent filter. That is to say, the first transparent filter and the second transparent filter can not only achieve the transparency of the sound signal, but also suppress the energy value of each frequency band according to the corresponding adjustment amount.
  • the first filtered signal output by the first transparent filter includes the low- and medium-frequency signals after energy band suppression
  • the second filtered signal output by the second transparent filter includes the high-frequency signal after energy band suppression.
  • the suppression of the energy values of the corresponding frequency bands is achieved simultaneously in the first transparent filter and the second transparent filter, without the need to set up additional hardware circuits, making the entire system structure more compact and reducing costs.
  • FIG8 shows a flowchart of a specific implementation of method 100.
  • the environmental sound transparency stage may include hardware transparency and software transparency.
  • a first transparency filter i.e., a hardware transparency filter
  • the background noise signal is first estimated by software, and the background noise signal is removed from the sound signal collected by the external ear microphone 12.
  • a software transparency filter is used to filter the sound signal after the background noise is removed, and a second filtered signal mainly composed of high frequency signals is output.
  • the background noise signal in the second filtered signal has been basically eliminated.
  • the first filtered signal and the second filtered signal are filtered. By superimposing the wave signals, a cleaner compensation signal can be obtained.
  • the energy peak of each frequency band is estimated, and the frequency bands that need energy adjustment are determined.
  • the adjustment amount g is determined based on the difference between the statistical value of the energy peak of each of these frequency bands and the corresponding energy threshold, that is, the statistical value minus the energy threshold.
  • the adjustment amount is output.
  • the energy peak of each frequency band can be counted in real time and the corresponding adjustment amount can be calculated until the difference gradually returns to 0.
  • the energy of each frequency band in the compensation signal is adjusted according to the adjustment amount g, for example, the gain corresponding to each frequency band can be adjusted according to the corresponding adjustment amount.
  • the microphone outputs the compensation signal after the adaptive processing stage.
  • the above-mentioned solution for adaptive processing of ambient sound can be implemented in combination with the aforementioned software and hardware combined transparent solution, or it can be implemented separately.
  • the embodiment of the present application further provides a filtering method 200.
  • the method 200 can be performed by a filtering device in the headset 10, for example, by a chip in the headset 10, such as a codec chip or a Bluetooth audio SOC.
  • the headset 10 includes an external ear microphone 12 for collecting sound signals.
  • the method 200 includes some or all of the following steps.
  • step 210 energy values of multiple frequency bands of the sound signal are determined.
  • step 220 the energy values of the multiple frequency bands of the sound signal are adjusted so that the energy values of the multiple frequency bands are less than or equal to energy thresholds corresponding to the multiple frequency bands respectively.
  • the multiple frequency bands may be, for example, frequency bands whose energy values exceed corresponding energy thresholds among the N frequency bands of the sound signal, where N is a positive integer.
  • the energy values of the multiple frequency bands of the sound signal are adjusted so that the energy values of the multiple frequency bands are less than or equal to the energy thresholds corresponding to each of the multiple frequency bands, including: based on a transparent filter, the sound signal is processed to obtain a filtered signal; wherein, the energy values of the multiple frequency bands of the sound signal are adjusted so that the energy values of the multiple frequency bands are less than or equal to the energy thresholds corresponding to each of the multiple frequency bands, including: the energy values of the multiple frequency bands of the filtered signal are adjusted so that the energy values of the multiple frequency bands of the filtered signal are less than or equal to the energy thresholds corresponding to each of the multiple frequency bands.
  • adjusting the energy values of the multiple frequency bands of the filtered signal so that the energy values of the multiple frequency bands of the filtered signal are less than or equal to energy thresholds corresponding to the multiple frequency bands respectively includes: based on the transparent filter or another filter other than the transparent filter, The energy values of the multiple frequency bands of the filtered signal are adjusted so that the energy values of the multiple frequency bands of the filtered signal are less than or equal to energy thresholds corresponding to the multiple frequency bands respectively.
  • the energy values of the multiple frequency bands of the filtered signal are adjusted, including: determining an adjustment amount corresponding to each frequency band based on the energy value of each frequency band in the multiple frequency bands of the sound signal and an energy threshold corresponding to each frequency band, and adjusting the energy value of each frequency band of the sound signal based on the adjustment amount corresponding to each frequency band.
  • the adjustment amount corresponding to each frequency band is determined based on the energy value of each frequency band in the multiple frequency bands of the sound signal and the energy threshold corresponding to each frequency band, including: determining the adjustment amount corresponding to each frequency band based on the difference between the energy value of each frequency band in the multiple frequency bands of the sound signal and the energy threshold corresponding to each frequency band.
  • method 200 can be referred to the aforementioned description of the part regarding the adaptive processing of ambient sound in method 100, and for the sake of brevity, they will not be repeated here.
  • the present application also provides a filtering device 300, which is applied to an earphone 10 with a transparent mode, the earphone 10 includes an external ear microphone 12, and the sound signal collected by the external ear microphone 12 includes a signal of a first frequency band and a signal of a second frequency band, and at least part of the frequency band in the first frequency band is lower than at least part of the frequency band in the second frequency band.
  • the first frequency band is less than or equal to a preset first frequency threshold
  • the second frequency band is greater than or equal to a preset second frequency threshold.
  • the first frequency threshold and the second frequency threshold can be, for example, between 2KHz and 3KHz.
  • the device 300 includes a first transparent filter 310 , a processing module 320 , and a second transparent filter 330 .
  • the first transparent filter 310 is used to process the sound signal to obtain a first filtered signal of the sound signal
  • the first transparent filter is a hardware transparent filter, and the gain of the first transparent filter on the signal of the first frequency band in the sound signal is greater than the gain of the first transparent filter on the signal of the second frequency band in the sound signal
  • the processing module 320 is used to perform background noise reduction processing on the sound signal
  • the second transparent filter 330 is used to process the sound signal after background noise reduction to obtain a second filtered signal of the sound signal
  • the second transparent filter is a software transparent filter, and the gain of the second transparent filter on the signal of the second frequency band in the sound signal after background noise reduction is greater than the gain of the second transparent filter on the signal of the first frequency band in the sound signal after background noise reduction.
  • the software transparent filter may be, for example, a FIR filter or an IIR filter
  • the hardware transparent filter includes, for example, a FIR filter or an IIR filter.
  • the processing module 320 is specifically used to: obtain a pre-estimated background noise signal; A sound signal after the background noise is reduced is determined according to the background noise signal and the sound signal.
  • the earphone 10 also includes a speaker 11 and an in-ear microphone 13, and the processing module 320 is also used to: determine the secondary transfer function based on the audio signal output by the speaker 11 and the in-ear signal collected by the in-ear microphone 13; determine the first transparent filter 310 based on the extra-ear signal collected by the extra-ear microphone 12 when the earphone 10 is worn and the signal received in the ear when the earphone 10 is not worn.
  • the processing module 320 is also used to: determine the energy values of the multiple frequency bands of the sound signal; and adjust the energy values of the multiple frequency bands of the compensation signal according to the energy values of the multiple frequency bands of the sound signal so that the energy values of the multiple frequency bands of the compensation signal are less than or equal to the energy thresholds corresponding to the multiple frequency bands respectively.
  • the processing module 320 is specifically used to: determine the adjustment amount corresponding to each frequency band based on the energy value of each frequency band in the multiple frequency bands of the sound signal and the energy threshold corresponding to each frequency band; and adjust the energy value of each frequency band of the compensation signal based on the adjustment amount corresponding to each frequency band.
  • the processing module 320 is specifically configured to determine the adjustment amount corresponding to each frequency band according to the difference between the energy value of each frequency band and the energy threshold corresponding to each frequency band.
  • the multiple frequency bands are frequency bands whose energy values exceed corresponding energy thresholds among the N frequency bands of the sound signal, where N is a positive integer.
  • the first transparent filter 310 is also used to adjust the energy values of the multiple frequency bands of the sound signal so that the energy values of the multiple frequency bands of the first filtered signal are less than or equal to the energy thresholds corresponding to each of the multiple frequency bands; the first transparent filter 310 is also used to adjust the energy values of the multiple frequency bands of the sound signal after background noise reduction so that the energy values of the multiple frequency bands of the second filtered signal are less than or equal to the energy thresholds corresponding to each of the multiple frequency bands.
  • the first transparent filter 310 is specifically used to determine the adjustment amount corresponding to each frequency band according to the energy value of each frequency band in the multiple frequency bands of the sound signal and the energy threshold corresponding to each frequency band, and adjust the energy value of each frequency band of the sound signal according to the adjustment amount corresponding to each frequency band;
  • the second transparent filter 330 is specifically used to determine the adjustment amount corresponding to each frequency band according to the energy value of each frequency band in the multiple frequency bands of the sound signal after background noise reduction and the energy threshold corresponding to each frequency band, and adjust the energy value of each frequency band of the sound signal after background noise reduction according to the adjustment amount corresponding to each frequency band.
  • the first transparent filter 310 is specifically configured to: The adjustment amount corresponding to each frequency band is determined by the difference between the energy value of each frequency band and the energy threshold corresponding to each frequency band; the second transparent filter 330 is specifically used to determine the adjustment amount corresponding to each frequency band according to the difference between the energy value of each frequency band of the sound signal after background noise reduction and the energy threshold corresponding to each frequency band.
  • the multiple frequency bands are frequency bands whose energy values exceed corresponding energy thresholds among the N frequency bands of the sound signal, where N is a positive integer.
  • the specific details of the filtering device 300 can refer to the above description of the filtering method 100, and for the sake of brevity, they are not repeated here.
  • the present application also provides a filtering device 400 , which is applied to an earphone 10 with a transparent mode, and the earphone 10 includes an external ear microphone 12 for collecting sound signals.
  • the filtering device 400 includes a processing module 410 and a filter module 420 .
  • the processing module 410 is used to obtain energy values of multiple frequency bands of the sound signal; the filter module 420 is used to adjust the energy values of multiple frequency bands of the sound signal so that the energy values of the multiple frequency bands are less than or equal to the energy thresholds corresponding to the multiple frequency bands.
  • the multiple frequency bands may be, for example, frequency bands whose energy values exceed corresponding energy thresholds among the N frequency bands of the sound signal, where N is a positive integer.
  • the filter module 420 includes a transparent filter, which is used to: process the sound signal to obtain a filtered signal; wherein the transparent filter is also used to: adjust the energy values of the multiple frequency bands of the filtered signal so that the energy values of the multiple frequency bands of the filtered signal are less than or equal to the energy thresholds corresponding to each of the multiple frequency bands; or, the filter module also includes another filter other than the transparent filter, which is used to: receive the filtered signal and adjust the energy values of the multiple frequency bands of the filtered signal so that the energy values of the multiple frequency bands of the filtered signal are less than or equal to the energy thresholds corresponding to each of the multiple frequency bands.
  • the transparent filter or the other filter is specifically used to: determine the adjustment amount corresponding to each frequency band based on the energy value of each frequency band in the multiple frequency bands of the sound signal and the energy threshold corresponding to each frequency band, and adjust the energy value of each frequency band of the compensation signal based on the adjustment amount corresponding to each frequency band.
  • the transparent filter or the other filter is specifically used to determine the adjustment amount corresponding to each frequency band according to the difference between the energy value of each frequency band and the energy threshold corresponding to each frequency band.
  • the present application also provides a chip, including a processor and a memory, including a processor and a memory, the memory stores computer instructions, and the processor calls the computer instructions to enable the device to implement the apparatus according to the first aspect or any implementation of the first aspect.
  • the chip can be, for example, a codec chip in the headset 10 or a Bluetooth audio SOC.
  • the present application also provides an earphone 10 having a transparent mode, and the earphone 10 includes: a speaker 11; an external microphone 12; an internal microphone 13; and a filtering device in any of the above embodiments, or a chip in any of the above embodiments.
  • the systems, devices and methods disclosed in the embodiments of the present application may be implemented in other ways. For example, some features of the method embodiments described above may be ignored or not performed.
  • the device embodiments described above are merely schematic, and the division of units is merely a logical function division. There may be other division methods in actual implementation, and multiple units or components may be combined or integrated into another system.
  • the coupling between the units or the coupling between the components may be direct coupling or indirect coupling, and the coupling may include electrical, mechanical or other forms of connection.

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  • Engineering & Computer Science (AREA)
  • Acoustics & Sound (AREA)
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  • Circuit For Audible Band Transducer (AREA)

Abstract

La présente invention concerne un procédé de filtrage, un appareil de filtrage, une puce et un écouteur, qui permettent d'améliorer l'effet de transparence de l'écouteur. L'écouteur comprend un microphone extra-auriculaire, des signaux sonores collectés par le microphone extra-auriculaire comprenant des signaux d'une première bande de fréquences et des signaux d'une seconde bande de fréquences, et la première bande de fréquences étant plus basse que la seconde bande de fréquences. Le procédé consiste à : traiter un signal sonore sur la base d'un premier filtre transparent de façon à obtenir un premier signal filtré du signal sonore, le premier filtre transparent créant un gain plus fort dans un signal d'une première bande de fréquences que dans un signal d'une seconde bande de fréquences ; effectuer un traitement de réduction du bruit sur le signal sonore, et sur la base d'un second filtre transparent, traiter le signal sonore à bruit réduit de façon à obtenir un second signal filtré du signal sonore, le second filtre transparent créant un gain plus fort dans un signal de la seconde bande de fréquences que dans un signal de la première bande de fréquences ; et en fonction du premier signal filtré et du second signal filtré, déterminer un signal de compensation pour l'écouteur.
PCT/CN2023/089150 2023-04-19 2023-04-19 Procédé de filtrage, appareil de filtrage, puce et écouteur WO2024216532A1 (fr)

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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111885460A (zh) * 2020-07-29 2020-11-03 歌尔科技有限公司 一种无线耳机的通透模式调节装置、方法及无线耳机
CN113473304A (zh) * 2021-08-17 2021-10-01 北京小米移动软件有限公司 啸叫声抑制方法、装置、耳机及存储介质
US20210390972A1 (en) * 2020-06-11 2021-12-16 Apple Inc. Self-voice adaptation
CN113938785A (zh) * 2021-11-24 2022-01-14 英华达（上海）科技有限公司 降噪处理方法、装置、设备、耳机及存储介质
CN114554353A (zh) * 2022-02-24 2022-05-27 北京小米移动软件有限公司 音频处理方法、装置、设备及存储介质
US20220322002A1 (en) * 2021-03-31 2022-10-06 Bose Corporation Gain-adaptive active noise reduction (anr) device
CN115802224A (zh) * 2022-10-18 2023-03-14 昆山联滔电子有限公司 一种噪音消除方法、装置、电子设备、耳机及存储介质

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20210390972A1 (en) * 2020-06-11 2021-12-16 Apple Inc. Self-voice adaptation
CN111885460A (zh) * 2020-07-29 2020-11-03 歌尔科技有限公司 一种无线耳机的通透模式调节装置、方法及无线耳机
US20220322002A1 (en) * 2021-03-31 2022-10-06 Bose Corporation Gain-adaptive active noise reduction (anr) device
CN113473304A (zh) * 2021-08-17 2021-10-01 北京小米移动软件有限公司 啸叫声抑制方法、装置、耳机及存储介质
CN113938785A (zh) * 2021-11-24 2022-01-14 英华达（上海）科技有限公司 降噪处理方法、装置、设备、耳机及存储介质
CN114554353A (zh) * 2022-02-24 2022-05-27 北京小米移动软件有限公司 音频处理方法、装置、设备及存储介质
CN115802224A (zh) * 2022-10-18 2023-03-14 昆山联滔电子有限公司 一种噪音消除方法、装置、电子设备、耳机及存储介质

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