CN111951798A - Voice-based window lift control method and system - Google Patents

Abstract

The present application relates to a voice-based window lift control method and system. The method includes the steps of: pre-storing at least three different types of voice command sets, and the three different types of voice command sets respectively include a voice command set of an operating object, an action The voice command set and the amplitude of the voice command set; collect and analyze the voice signal, according to the voice command set, extract the corresponding operation object, action and amplitude from the voice signal; after extracting the operation object, action and amplitude , and perform corresponding action and amplitude control on the extracted operation object. The voice-based window lift control method provided by the present application has a high degree of intelligence, which makes driving safer, and can realize the control of any gear when controlling the window, which is more flexible and convenient to control, and can meet the needs of many users This kind of demand, the user experience is better.

Description

Voice-based window lift control method and system

technical field

The present application relates to the technical field of vehicle control, and in particular, to a voice-based control method and system for raising and lowering a vehicle window.

Background technique

With the continuous development of computer technology and automobile technology, people have a higher pursuit of driving experience. In the related art, the car window lift control system is controlled by the lift switch installed on the door, and the switch must be controlled manually. During the driving process, the driver needs to be distracted to find the switch, and press or lift the switch. Controlling the window up and down to a suitable position brings a certain inconvenience to driving and also affects the safety of driving.

The above-mentioned automotive window lift control system requires manual control, which is not only cumbersome to operate, but also directly affects safe driving and has poor user experience.

SUMMARY OF THE INVENTION

The embodiments of the present application provide a voice-based window lift control method to solve the technical problems in the related art that manual control is required, which is not only cumbersome to operate, but also directly affects safe driving and poor user experience.

In a first aspect, a voice-based window lift control method is provided, comprising the steps of:

Pre-store at least three different types of voice command sets, and the three different types of voice command sets respectively include the voice command set of the operation object, the voice command set of the action, and the voice command set of the amplitude;

Collect and analyze the voice signal, and extract the corresponding operation object, action and amplitude from the voice signal according to the voice command set;

After extracting the operation object, action and amplitude, perform corresponding action and amplitude control on the extracted operation object.

In some embodiments, the specific steps of extracting the corresponding operation object, action and amplitude from the voice signal according to the voice instruction set include:

Traverse the voice instruction set of the operation object, find out whether there is an operation object in the voice instruction set of the operation object from the voice signal, and if there is, extract the corresponding operation object;

Traverse the voice command set of the action, find out whether there is an action in the voice command set of the action from the voice signal, and if there is, extract the corresponding action;

Traverse the voice instruction set of the amplitude, find out whether there is an amplitude in the voice instruction set of the amplitude from the voice signal, and extract the corresponding amplitude if it exists.

In some embodiments, before performing corresponding action and amplitude control on the extracted operation object, the steps further include:

It is judged whether the corresponding operation object, action and amplitude are successfully extracted from the voice signal, if so, the corresponding action and amplitude control are performed on the extracted operation object, if not, a task failure alarm is issued.

In some embodiments, before extracting the corresponding operation object, action and amplitude from the voice signal, it further includes the steps of:

Pre-store the speech recognition object and the standard speech signal of the speech recognition object;

Compare the parsed voice signal with the standard voice signal, determine whether the parsed voice signal is issued by a pre-stored voice recognition object, and if so, extract the corresponding operation object, action and amplitude from the voice signal, If not, a permission management alarm is issued.

In some embodiments, the specific process of pre-storing the speech recognition object and the standard speech signal of the speech recognition object includes:

In the initial state, the standard speech signal of at least one speech recognition object is input, and the speech recognition object is used as the main control object;

When the speech recognition object needs to be changed, the stored speech recognition object and the standard speech signal of the speech recognition object are changed according to the voice command for changing the control right issued by the master control object.

In some embodiments, when the voice command of the control right change is the voice command of the control right extension, according to the voice command of the control right change issued by the main control object, the stored voice recognition object and the standard voice signal of the voice recognition object are processed. The specific steps for the change include:

Recognize the voice command of the control right extension issued by the master object;

emit a tone for control extension;

The speech signal of the newly added speech recognition object is recognized, and the recognized speech signal of the newly added speech recognition object is stored as the standard speech signal of the speech recognition object.

In some embodiments, after recognizing the voice signal of the newly added voice recognition object, the method further includes the steps:

According to the voice instruction set, extract the corresponding operation object, action and amplitude from the voice signal;

After extracting the operation object, action and amplitude, perform corresponding action and amplitude control on the extracted operation object.

In a second aspect, a voice-based window lift control system is provided, including:

a memory, which is used to pre-store at least three different types of voice command sets, and the three different types of voice command sets are respectively the voice command set of the operation object, the voice command set of the action, and the voice command set of the amplitude;

a collector, which is used to collect voice signals;

a processor, configured to analyze the voice signal after collecting the voice signal, and extract the corresponding operation object, action and amplitude from the voice signal according to the voice command set;

The controller is configured to perform corresponding action and amplitude control on the extracted operation object after the operation object, action and amplitude are extracted.

In some embodiments, the processor is specifically configured to:

Traverse the voice instruction set of the operation object, find out whether there is an operation object in the voice instruction set of the operation object from the voice signal, and if there is, extract the corresponding operation object;

Traverse the voice command set of the action, find out whether there is an action in the voice command set of the action from the voice signal, and if there is, extract the corresponding action;

Traverse the voice instruction set of the amplitude, find out whether there is an amplitude in the voice instruction set of the amplitude from the voice signal, and extract the corresponding amplitude if it exists.

In some embodiments, the memory is further configured to pre-store the speech recognition object and the standard speech signal of the speech recognition object;

The processor is also used to compare the parsed voice signal with the standard voice signal, and determine whether the parsed voice signal is issued by a pre-stored voice recognition object, and if so, extract the corresponding voice signal from the voice signal. Operation object, action and magnitude, if not, a permission management alarm will be issued.

The beneficial effects brought by the technical solution provided by the present application include: a high degree of intelligence, making driving safer, and when controlling the windows, it is possible to realize the control of any gear, which is more flexible and convenient to control, and meets the needs of many users. This kind of demand, the user experience is better.

The embodiment of the present application provides a voice-based window lift control method. On the one hand, the window lift control method is realized through voice, which has a high degree of intelligence and only requires voice control, which makes driving safer; on the other hand, Because at least three different categories of voice command sets are pre-stored, including three categories of operation object, action and amplitude, and corresponding operations are performed according to the extracted operation object, action and amplitude, it is possible to control the car window. , which can realize the control of any gear, which is more flexible and convenient to control, meets the various needs of users, and has a better user experience.

Description of drawings

In order to illustrate the technical solutions in the embodiments of the present application more clearly, the following briefly introduces the drawings that are used in the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can also be obtained from these drawings without creative effort.

1 is a flowchart of a voice-based window lift control method provided by an embodiment of the present application;

2 is a flowchart of a method for changing control rights provided by an embodiment of the present application;

3 is a detailed flowchart of a voice-based window lift control method provided by an embodiment of the present application;

FIG. 4 is a structural block diagram of a voice-based window lift control system provided by an embodiment of the present application.

Detailed ways

In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present application.

Referring to FIG. 1 , an embodiment of the present application provides a voice-based window lift control method, which includes the steps:

S1: at least three different types of voice command sets are pre-stored, and the three different types of voice command sets are respectively the voice command set of the operation object, the voice command set of the action, and the voice command set of the amplitude;

S2: collect and analyze the voice signal, and extract the corresponding operation object, action and amplitude from the voice signal according to the voice command set;

S3: After extracting the operation object, action and amplitude, perform corresponding action and amplitude control on the extracted operation object.

In the embodiment of the present application, the voice command set of the operation object includes voice commands of several operation objects, the voice command set of actions includes voice commands of several actions, and the voice command set of amplitudes includes voice commands of several amplitudes . The voice instruction set of the operation object includes: left front window, right front window, left rear window, right rear window, front window, rear window, left window, right window, etc.; Including left front window and right front window, rear window including left rear window and right rear window, left window including left front window and left rear window, right window including right front window and right rear window, namely , when the extracted operation object is the front window, the left front window and the right front window are controlled accordingly.

The voice instruction set of the action includes descending, descending, descending, ascending, ascending, ascending, etc. When the extracted action is descending, descending control is performed on the extracted operation object.

The voice command set of the amplitude includes half, fully open, fully closed, one-half, one-third, ten percent, etc. When the extracted amplitude is one-third, then the extracted operation is performed. The object has one-third amplitude control.

The voice-based window lift control method of the embodiments of the present application, on the one hand, realizes the window lift control method through voice, which has a high degree of intelligence and only needs voice control, which makes driving safer; At least three different categories of voice command sets are stored, including three categories of operation object, action and amplitude, and corresponding operations are performed according to the extracted operation object, action and amplitude. 1/3", the operation object is the left front window, the action is down, and the amplitude is 1/3, then the corresponding operation is performed, so that when the window is controlled, the control of any gear can be realized. It is more flexible and convenient to meet the various needs of users, and the user experience is better.

Further, in the embodiment of the present application, in the above step S2, the specific steps of extracting the corresponding operation object, action and amplitude from the voice signal according to the voice instruction set include:

S201: Traverse the voice instruction set of the operation object, and find from the voice signal whether there is an operation object in the voice instruction set of the operation object, and if there is, extract the corresponding operation object;

S202: Traverse the voice command set of the action, find out whether there is an action in the voice command set of the action from the voice signal, and if there is, extract the corresponding action;

S203: Traverse the voice command set of the amplitude, and find out from the voice signal whether there is an amplitude in the voice command set of the amplitude, and if there is, extract the corresponding amplitude.

In practical applications, when a voice signal is received, it is determined whether the voice signal contains the corresponding voice commands in the voice command set. These voice commands include operation objects, actions and amplitudes, and corresponding extraction is performed, and then corresponding Operation, through traversal, can quickly match and find the corresponding operation object, action and magnitude, and the efficiency is high.

Further, in the embodiment of the present application, in step S3, before performing corresponding action and amplitude control on the extracted operation object, it also includes steps:

It is judged whether the corresponding operation object, action and amplitude are successfully extracted from the voice signal, if so, the corresponding action and amplitude control are performed on the extracted operation object, if not, a task failure alarm is issued.

Specifically, it is respectively judged whether the extraction of the corresponding operation object from the speech signal is successful, whether the extraction of the corresponding action from the speech signal is successful, and whether the extraction of the corresponding amplitude from the speech signal is successful is performed. All judgments are successful, that is, only when the three elements of operation object, action and amplitude are extracted at the same time, it is considered successful, otherwise, a task failure alarm will be issued.

There are various forms of task failure alarms, which can be voice alarms, an alarm prompting "Please re-issue the command", or a sound alarm reminder similar to an alarm or an alarm clock, which is not limited here.

In the embodiment of the present application, it is determined whether the extraction of the operation object, the action and the amplitude is successful. Only when the three elements are satisfied, that is, the operation object, the action and the amplitude are all successfully extracted, the corresponding control operation is performed to ensure that the window can be raised and lowered. The control actions are more accurate, such as accurately completing the precise action that the user wants a certain window to drop by one-tenth, making the user experience better.

Further, in the embodiment of the present application, before extracting the corresponding operation object, action and amplitude from the voice signal, it also includes the steps:

Pre-store the speech recognition object and the standard speech signal of the speech recognition object;

Compare the parsed voice signal with the standard voice signal, determine whether the parsed voice signal is issued by a pre-stored voice recognition object, and if so, extract the corresponding operation object, action and amplitude from the voice signal, If not, a permission management alarm is issued.

Specifically, there are various forms of permission management alarms, which may be voice alarms, prompting "the user does not have voice permission", or voice alarm reminders similar to alarms or alarm clocks, which are not limited here.

In the embodiment of the present application, by pre-storing the speech recognition object and the standard speech signal of the speech recognition object, and comparing the parsed speech signal with the standard speech signal, authority management is implemented, and only the pre-stored speech recognition Only the object can control the voice command of the car window. After permission management, it can prevent the content of the pre-stored voice command set during the conversation from causing false triggering when there are multiple passengers in the car, which makes the window lift control more efficient. Safe and reliable.

Further, in the embodiment of the present application, the specific process of pre-storing the speech recognition object and the standard speech signal of the speech recognition object includes:

In the initial state, the standard speech signal of at least one speech recognition object is input, and the speech recognition object is used as the main control object;

When the speech recognition object needs to be changed, the stored speech recognition object and the standard speech signal of the speech recognition object are changed according to the voice command for changing the control right issued by the master control object.

In the embodiment of the present application, the voice recognition object can be changed according to actual needs. For example, the driver can extend the voice control authority to passengers, and can also delete passengers who originally have control authority according to requirements, etc., and the application scope is wider.

Specifically, when a new voice recognition object needs to be added, the voice command for changing the control right here is the voice command for extending the control right. The standard speech signal of the object is stored.

For example, when the driver needs to assign the control right to the passenger, that is, the passenger is added as a voice recognition object, the standard voice signal of the passenger is added, and when the parsed voice signal is compared with the standard voice signal, the driver Compare with the standard voice signal of the passenger. If the result of the comparison is: the voice signal parsed is sent by either the driver or the passenger, the corresponding control operation will be carried out; otherwise, the authority management alarm will be carried out.

It should be noted that, according to actual needs, you can also set the time limit for the extension of the control right, and set the control time limit for the newly added voice recognition object. voice control.

When the voice recognition object needs to be deleted, the voice command for changing the control right here is the voice command for deleting the control right. According to the voice command for changing the control right issued by the main control object, the corresponding voice recognition object and the standard of the voice recognition object are deleted. voice signal.

Referring to FIG. 2, in the embodiment of the present application, when the voice command for changing the control right is a voice command for extending the control right, according to the voice command for changing the control right issued by the main control object, the stored voice recognition object, and The specific steps for changing the standard voice signal of the voice recognition object include:

A1: Identify the voice command of the control right extension issued by the main control object;

In the embodiment of the present application, the specific implementation process of this process is as follows: recognize the voice signal, and compare the recognized voice signal with the standard voice signal of the main control object that has been recorded. If the comparison result is that the voice signal is the main control object issued, it is considered that the voice command of the main control object is recognized, and the operation is completed;

A2: Send out a tone for control extension;

The prompt sound can be the prompt sound of "DiDi", or it can be a voice prompt similar to "Please input a voice signal";

A3: Recognize the voice signal of the newly added voice recognition object;

After hearing the sound of the control right extension, the newly added voice recognition object outputs the voice signal, and the system recognizes it;

A4: Use the recognized voice signal of the newly added voice recognition object as the standard voice signal of the voice recognition object, and store it;

A5: According to the voice instruction set, extract the corresponding operation object, action and amplitude from the voice signal;

A6: After extracting the operation object, action and amplitude, perform corresponding action and amplitude control on the extracted operation object.

It should be noted that, in practical applications, the operations of the above steps A1 to A4 can be completed before driving, and the passengers are regarded as the newly added voice recognition objects. It is also possible to use the passenger as the newly added voice recognition object when the passenger needs to perform the window lift operation during the driving process. When the voice recognition object is added, the corresponding operation is performed, that is, the A1 to A6 are completed at one time. Operation, it should be understood that the above situations all belong to the protection scope of the present application.

Referring to FIG. 3 , an embodiment of the present application further provides a voice-based window lift control method. The detailed steps include:

B1: Pre-store at least three different types of voice command sets, and the three different types of voice command sets are respectively the voice command set of the operation object, the voice command set of the action, and the voice command set of the amplitude; Describe the standard speech signal of the speech recognition object;

B2: Collect and analyze voice signals;

B3: Compare the parsed voice signal with the standard voice signal;

B4: determine whether the parsed voice signal is issued by the pre-stored voice recognition object, if not, then go to step B5, if so, go to step B6;

B5: Perform permission management alarm;

B6: According to the voice instruction set, extract the corresponding operation object, action and amplitude from the voice signal;

B7: determine whether the corresponding operation object, action and amplitude are successfully extracted from the voice signal; if so, go to step B8; if not, go to B9;

B8: Control the corresponding action and amplitude of the extracted operation object;

B9: The task failure alarm is generated.

In the embodiment of the present application, by comparing the parsed voice signal with the standard voice signal, authority management can be implemented, so that the voice-based vehicle window control method of the present application is more secure and reliable. The three elements of , action and amplitude can realize the precise control of the window, the adjustment of any gear, and the user experience is better.

In the embodiment of the present application, after extracting the operation object, action and amplitude, the implementation process of performing corresponding action and amplitude control on the extracted operation object may be: calculating the stroke of the window lift control motor according to the obtained amplitude, The window lift is controlled according to the calculated stroke. For example, when the window needs to be lowered by one third, the stroke of the window lift control motor is calculated to be one third, and then the window lift is controlled by one third.

Referring to FIG. 4 , an embodiment of the present application further provides a voice-based window lift control system, including a memory, a collector, a processor, and a controller.

The memory is used to pre-store at least three different types of voice command sets, and the three different types of voice command sets are respectively the voice command set of the operation object, the voice command set of the action, and the voice command set of the amplitude; the collector is used to collect the voice signal; The processor is used for analyzing the voice signal after collecting the voice signal, and extracting the corresponding operation object, action and amplitude from the voice signal according to the voice command set; the controller is used for extracting the operation object, action and amplitude, The corresponding action and amplitude control are performed on the extracted operation objects.

The voice-based window lift control system of the embodiment of the present application, on the one hand, realizes the window lift control method through voice, which has a high degree of intelligence and only needs voice control, which makes driving safer; At least three different categories of voice command sets are stored, including three categories of operation object, action and amplitude, and corresponding operations are performed according to the extracted operation object, action and amplitude. 1/3", the operation object is the left front window, the action is down, and the amplitude is 1/3, then the corresponding operation is performed, so that when the window is controlled, the control of any gear can be realized. It is more flexible and convenient to meet the various needs of users, and the user experience is better.

Further, in this embodiment of the present application, the processor is specifically used for:

Traverse the voice instruction set of the operation object, find out whether there is an operation object in the voice instruction set of the operation object from the voice signal, and if there is, extract the corresponding operation object;

Traverse the voice command set of the action, find out whether there is an action in the voice command set of the action from the voice signal, and if there is, extract the corresponding action;

Traverse the voice instruction set of the amplitude, find out whether there is an amplitude in the voice instruction set of the amplitude from the voice signal, and extract the corresponding amplitude if it exists.

Further, in the embodiment of the present application, the processor is further configured to determine whether the extraction of the corresponding operation object, action and amplitude from the voice signal is successful, and if so, perform corresponding operation on the extracted operation object. Action and amplitude control, if not, a task failure alarm will be issued.

Further, in the embodiment of the present application, the memory is further configured to pre-store the speech recognition object and the standard speech signal of the speech recognition object.

The processor is also used to compare the parsed voice signal with the standard voice signal, and determine whether the parsed voice signal is issued by a pre-stored voice recognition object, and if so, extract the corresponding voice signal from the voice signal. Operation object, action and magnitude, if not, a permission management alarm will be issued.

In the embodiment of the present application, by pre-storing the speech recognition object and the standard speech signal of the speech recognition object, and comparing the parsed speech signal with the standard speech signal, authority management is implemented, and only the pre-stored speech recognition Only the object can control the voice command of the car window. After permission management, it can prevent the content of the pre-stored voice command set during the conversation from causing false triggering when there are multiple passengers in the car, which makes the window lift control more efficient. Safe and reliable.

Further, in the embodiment of the present application, the memory is also specifically used for:

In the initial state, the standard speech signal of at least one speech recognition object is input, and the speech recognition object is used as the main control object;

When the speech recognition object needs to be changed, the stored speech recognition object and the standard speech signal of the speech recognition object are changed according to the voice command for changing the control right issued by the master control object.

In the embodiment of the present application, the voice-based window lift control system further includes an alarm, and the alarm is connected to the processor. When the processor determines that a task failure alarm or an authority management alarm is required, the alarm Execute the alarm action.

The alarm can be a microphone, prompting "please re-issue the command" or "the user does not have voice permission", etc., or it can be a prompt tone of "DiDi" or other ringtones, which can be set as needed.

It should be noted that the collector in the embodiment of the present application may be a microphone or other voice collection device, the processor may be an MCU module, the controller may be a window control device, or any other device that can complete corresponding functions equipment.

In the description of this application, it should be noted that the orientation or positional relationship indicated by the terms "upper", "lower", etc. is based on the orientation or positional relationship shown in the accompanying drawings, and is only for the convenience of describing the application and simplifying the description, Rather than indicating or implying that the referred device or element must have a particular orientation, be constructed and operate in a particular orientation, it should not be construed as a limitation on the application. Unless otherwise expressly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense, for example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection, It can also be an electrical connection; it can be a direct connection, an indirect connection through an intermediate medium, or an internal connection between two components. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific situations.

It should be noted that, in this application, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply Any such actual relationship or sequence exists between these entities or operations. Moreover, the terms "comprising", "comprising" or any other variation thereof are intended to encompass a non-exclusive inclusion such that a process, method, article or device that includes a list of elements includes not only those elements, but also includes not explicitly listed or other elements inherent to such a process, method, article or apparatus. Without further limitation, an element qualified by the phrase "comprising a..." does not preclude the presence of additional identical elements in a process, method, article or apparatus that includes the element.

The above descriptions are only specific embodiments of the present application, so that those skilled in the art can understand or implement the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, this application is not intended to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims (10)

1. A car window lifting control method based on voice is characterized by comprising the following steps:

pre-storing at least three different types of voice instruction sets, wherein the three different types of voice instruction sets respectively comprise a voice instruction set of an operation object, a voice instruction set of an action and a voice instruction set of an amplitude;

collecting and analyzing voice signals, and extracting corresponding operation objects, actions and amplitudes from the voice signals according to the voice instruction set;

after the operation object, the action and the amplitude are extracted, corresponding action and amplitude control is carried out on the extracted operation object.

2. The voice-based vehicle window lifting control method according to claim 1, wherein the specific step of extracting the corresponding operation object, action and amplitude from the voice signal according to the voice instruction set comprises:

traversing the voice instruction set of the operation object, searching whether the operation object in the voice instruction set of the operation object exists or not from the voice signal, and if so, extracting the corresponding operation object;

traversing the voice instruction set of the action, searching whether the action in the voice instruction set of the action exists or not from the voice signal, and if so, extracting the corresponding action;

and traversing the voice instruction set of the amplitude, searching whether the amplitude in the voice instruction set of the amplitude exists in the voice signal, and if so, extracting the corresponding amplitude.

3. The voice-based window lift control method according to claim 1, further comprising, before performing corresponding action and amplitude control on the extracted operation object, the steps of:

and judging whether the corresponding operation object, action and amplitude are extracted from the voice signal successfully, if so, performing corresponding action and amplitude control on the extracted operation object, and if not, performing task failure alarm.

4. The voice-based window lift control method according to claim 1, further comprising, before extracting a corresponding operation object, action, and magnitude from the voice signal, the steps of:

pre-storing a voice recognition object and a standard voice signal of the voice recognition object;

and comparing the analyzed voice signal with the standard voice signal, judging whether the analyzed voice signal is sent by a pre-stored voice recognition object, if so, extracting a corresponding operation object, action and amplitude from the voice signal, and if not, performing authority management alarm.

5. The voice-based window lift control method according to claim 4, wherein the specific process of pre-storing the voice recognition object and the standard voice signal of the voice recognition object comprises:

in an initial state, inputting a standard voice signal of at least one voice recognition object, and taking the voice recognition object as a main control object;

when the voice recognition object needs to be changed, the stored voice recognition object and the standard voice signal of the voice recognition object are changed according to the voice command of the control right change sent by the main control object.

6. The vehicle window lift control method based on voice according to claim 5, wherein when the voice command for the control right change is a voice command for the control right extension, the specific step of changing the stored voice recognition object and the standard voice signal of the voice recognition object according to the voice command for the control right change sent by the main control object comprises:

recognizing a voice instruction of control weight expansion sent by a main control object;

sending out a prompt tone for controlling the expansion of the right;

and recognizing the voice signal of the newly added voice recognition object, and storing the recognized voice signal of the newly added voice recognition object as a standard voice signal of the voice recognition object.

7. The voice-based window regulator control method according to claim 6, further comprising, after recognizing the voice signal of the newly added voice recognition object, the steps of:

extracting corresponding operation objects, actions and amplitudes from the voice signals according to the voice instruction set;

after the operation object, the action and the amplitude are extracted, corresponding action and amplitude control is carried out on the extracted operation object.

8. A voice-based window lift control system, comprising:

the memory is used for prestoring at least three different types of voice instruction sets, wherein the three different types of voice instruction sets are respectively a voice instruction set of an operation object, a voice instruction set of an action and a voice instruction set of an amplitude;

the collector is used for collecting voice signals;

the processor is used for analyzing the voice signal after acquiring the voice signal and extracting a corresponding operation object, action and amplitude from the voice signal according to the voice instruction set;

and the controller is used for performing corresponding action and amplitude control on the extracted operation object after the operation object, the action and the amplitude are extracted.

9. The voice-based window lift control method of claim 8, wherein the processor is specifically configured to:

traversing the voice instruction set of the operation object, searching whether the operation object in the voice instruction set of the operation object exists or not from the voice signal, and if so, extracting the corresponding operation object;

traversing the voice instruction set of the action, searching whether the action in the voice instruction set of the action exists or not from the voice signal, and if so, extracting the corresponding action;

and traversing the voice instruction set of the amplitude, searching whether the amplitude in the voice instruction set of the amplitude exists in the voice signal, and if so, extracting the corresponding amplitude.

10. The voice-based window lift control method according to claim 8, characterized in that: the memory is also used for pre-storing a voice recognition object and a standard voice signal of the voice recognition object;

the processor is also used for comparing the analyzed voice signal with the standard voice signal and judging whether the analyzed voice signal is sent by a pre-stored voice recognition object or not, if so, extracting a corresponding operation object, action and amplitude from the voice signal, and if not, performing authority management alarm.

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