Vehicle glove box unlocking system and method based on voiceprint recognition

Abstract

The invention discloses a vehicle glove box unlocking system and method based on voiceprint recognition in the technical field, and the system comprises a voice collection unit which collects a voice instruction of a current user, and outputs the voice instruction to a voiceprint verification module; the voiceprint verification module is used for extracting voiceprint information in the voice instruction for voiceprint verification and then sending the voice instruction passing verification to the voice recognition module; the voice recognition module is used for converting the voice instruction into processable semantic information and transmitting the processable semantic information to the main control module; and the main control module is used for sending a control signal according to the semantic information and controlling the opening or closing of the glove box. Automatic unlocking of the glove box is achieved through the voiceprint recognition technology, convenience and safety are achieved, manual operation or password input is not needed, and operation convenience is greatly improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of automobile safety, and in particular relates to a vehicle glove box unlocking system and method based on voiceprint recognition. Background Art

[0002] With the rapid development of the automobile industry, cars have become an indispensable means of transportation in people's daily lives. As an important storage space inside the car, the glove box is usually used by car owners to store documents, personal belongings or valuables. However, the safety and privacy of the glove box has always been the focus of attention of car owners.

[0003] At present, the unlocking methods of glove boxes on the market mainly rely on manual or password interaction. During driving, manual unlocking is not only inconvenient to operate, but may also distract the driver's attention and increase driving risks. Although password unlocking improves security to a certain extent, the unlocking process is cumbersome, and the password is easy to be peeped or forgotten, and there are certain safety hazards. In order to solve the above problems, some lockless glove boxes and glove boxes with passwords have appeared on the market. However, the security of lockless glove boxes is low and cannot meet the needs of car owners for the protection of items; and although the glove boxes with passwords improve security, the unlocking process is still cumbersome, which is not conducive to quick and convenient access to items. Therefore, how to design a glove box unlocking solution that is both safe and convenient has become an urgent problem to be solved in the current field of automotive safety technology. Summary of the invention

[0004] The purpose of the present invention is to provide a vehicle glove box unlocking system and method based on voiceprint recognition, which realizes automatic unlocking of the glove box through voiceprint recognition technology, which is convenient and safe, and effectively solves the problems existing in the existing glove box unlocking method.

[0005] To achieve the above object, the present invention is implemented by adopting the following technical solutions:

[0006] In a first aspect, the present invention provides a vehicle glove box unlocking system based on voiceprint recognition, comprising:

[0007] Voice collection unit: collects the current user's voice commands and outputs them to the voiceprint verification module;

[0008] Voiceprint verification module: extracts voiceprint information from voice commands for voiceprint verification, and sends the verified voice commands to the voice recognition module;

[0009] Speech recognition module: converts speech commands into processable semantic information and transmits it to the main control module;

[0010] Main control module: sends control signals based on semantic information to control the opening or closing of the glove box.

[0011] Furthermore, the system also includes a user voiceprint entry unit, which extracts the user's voiceprint features by pre-entering the user's voiceprint information, establishes the user's voiceprint file and stores it in the system database, providing data support for the voiceprint verification module.

[0012] Furthermore, the voice collection unit includes a microphone, a noise reduction module and a voice digitizer. The microphone collects the user's voice signal in real time; the noise reduction module performs noise reduction processing on the collected voice signal; the voice digitizer converts the noise-reduced voice signal into a digital signal and outputs it to the voiceprint verification module.

[0013] Furthermore, the system also includes a Can network signal module and a control module. The main control module sends a control signal to the control module through the Can network signal module, and the control module controls the opening or closing of the glove box according to the control signal.

[0014] Furthermore, the system also includes an audio output module, which: in response to the opening or closing of the glove box, outputs a prompt tone to prompt a successful interaction; in response to the voice recognition module recognizing an invalid voice command, outputs a prompt tone to remind the user to re-enter or enter the correct command; in response to the voiceprint verification being successful, the voiceprint verification module sends the verified voice command to the voice recognition module; in response to the voiceprint verification failing, the audio output module is triggered to output a prompt tone to remind the user to re-enter.

[0015] Furthermore, the system also includes a noise detection unit for pre-identifying whether there is noise in the voice command. After receiving the voice command, the noise detection unit establishes a voiceprint indicator set, establishes a standard sample set on the voiceprint indicator set, and then creates a Vague environment. The sample to be evaluated and the standard sample set are converted into Vague set data according to a formula, and the distance between the Vague set of the sample to be evaluated and the Vague set of the standard sample set is calculated. The calculated distances are sorted by numerical value and the one with the smallest distance is used as the noise recognition result of the sample to be evaluated. The noise recognition results include completely noiseless, basically noiseless, slight noise, moderate noise and severe noise; voice commands with recognition results of moderate noise and severe noise are ignored and voiceprint verification is not continued; voice commands with recognition results of completely noiseless, basically noiseless and slight noise can continue to be verified.

[0016] Furthermore, the system also includes a biometric recognition module, which performs fingerprint recognition or facial recognition on the user in response to the failure of the voiceprint verification module to further confirm the user's identity.

[0017] In a second aspect, the present invention provides a vehicle glove box unlocking method based on voiceprint recognition, comprising:

[0018] Collect the current user's voice commands;

[0019] Extract the voiceprint information in the voice command for voiceprint verification;

[0020] Convert the verified voice commands into processable semantic information;

[0021] A control signal is sent according to the semantic information to control the opening or closing of the glove box.

[0022] Furthermore, it also includes the step of user voiceprint entry; the user voiceprint entry unit extracts the user's voiceprint characteristics by pre-entering the user's voiceprint information, establishes the user's voiceprint file and stores it in the system database, providing data support for the voiceprint verification module.

[0023] Furthermore, voice commands are collected by a voice collection unit; the voice collection unit includes a microphone, a noise reduction module and a voice digitizer, the microphone collects the user's voice signal in real time; the noise reduction module performs noise reduction processing on the collected voice signal; the voice digitizer converts the noise-reduced voice signal into a digital signal and outputs it to the voiceprint verification module.

[0024] Furthermore, it also includes the step of audio output; in response to the opening or closing of the glove box, outputting a prompt tone to prompt successful interaction; in response to the voice recognition module recognizing an invalid voice command, outputting a prompt tone to remind the user to re-enter or enter the correct command; in response to the voiceprint verification being successful, the voiceprint verification module sends the verified voice command to the voice recognition module; in response to the voiceprint verification failing, triggering the audio output module to output a prompt tone to remind the user to re-enter.

[0025] Furthermore, it also includes a step for pre-identifying whether there is noise in the voice instruction; the step for pre-identifying whether there is noise in the voice instruction is implemented by a noise detection unit; after receiving the voice instruction, the noise detection unit establishes a voiceprint indicator set, establishes a standard sample set on the voiceprint indicator set, and then creates a Vague environment, converts the sample to be evaluated and the standard sample set into Vague set data according to the formula, calculates the distance between the Vague set of the sample to be evaluated and the Vague set of the standard sample set, sorts the calculated distances by numerical values, and takes the one with the smallest distance as the noise recognition result of the sample to be evaluated, and the noise recognition result includes completely no noise, basically no noise, slight noise, moderate noise and severe noise; the voice instructions with recognition results of moderate noise and severe noise are ignored, and the voiceprint verification is not continued; for the voice instructions with recognition results of completely no noise, basically no noise, and slight noise, the voiceprint verification can continue.

[0026] Furthermore, the method further includes a biometric identification step, which is implemented by a biometric identification module. When the voiceprint verification module fails to verify the biometric identification module, the biometric identification module performs fingerprint recognition or facial recognition on the user to further confirm the user's identity.

[0027] In a third aspect, the present invention provides a vehicle glove box unlocking device based on voiceprint recognition, comprising a processor and a storage medium;

[0028] The storage medium is used to store instructions;

[0029] The processor is used to operate according to the instructions to execute the steps according to the above method.

[0030] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the above-described method when executed by a processor.

[0031] Compared with the prior art, the present invention has the following beneficial effects:

[0032] The present invention is easy to operate during use. The user can unlock the glove box by voice command without manual operation or password input, which greatly improves the convenience of operation.

[0033] Compared with the existing technology, the present invention is safer and more reliable. The voiceprint recognition technology has a higher recognition accuracy rate, which can effectively prevent illegal unlocking and ensure the safety of the owner's belongings.

[0034] The vehicle glove box unlocking system designed by the present invention has a high degree of intelligence and integrates multiple technologies such as voice collection, voiceprint recognition, and speech recognition, thereby realizing intelligent control of the glove box and improving user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The accompanying drawings constituting a part of the present invention are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the accompanying drawings:

[0036] Figure 1 A structural framework diagram of a vehicle glove box unlocking system based on voiceprint recognition provided in Embodiment 1 of the present invention;

[0037] Figure 2 A flowchart of a method for unlocking a vehicle glove box based on voiceprint recognition provided in Embodiment 1 of the present invention. DETAILED DESCRIPTION

[0038] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present invention can be combined with each other without conflict.

[0039] The following detailed description is an exemplary description, which is intended to provide further detailed description of the present invention. Unless otherwise specified, all technical terms used in the present invention have the same meaning as those generally understood by those skilled in the art to which the present invention belongs. The terms used in the present invention are only for describing specific embodiments, and are not intended to limit the exemplary embodiments according to the present invention.

[0040] Embodiment 1:

[0041] Please refer to Figure 1-2 A vehicle glove box unlocking system based on voiceprint recognition includes: a user voiceprint recording unit 1, a voice collection unit 2, a voiceprint verification module 3, a voice recognition module 4, a main control module 5, a Can network signal module 6, a control module 7 and an audio output module 8.

[0042] 1. User voiceprint entry unit 1: This unit is the starting point of the entire voiceprint recognition unlocking system. This unit can record the user's voiceprint information when used for the first time. Users can record voiceprints through specific recording devices or mobile phone APPs. During the recording process, the system will sample and analyze the user's voice, extract the user's voiceprint features, and store them in the system's database to provide a comparison basis for subsequent voiceprint recognition.

[0043] The specific working process is as follows: the user makes a sound according to the system prompt through a specific recording device or mobile phone APP; the system receives the user's voice signal, samples and analyzes it, and extracts the user's voiceprint features; the extracted voiceprint features are stored in the system's database as a comparison basis for subsequent voiceprint recognition; through the user voiceprint entry unit 1, the system can establish the user's voiceprint file to provide data support for subsequent voiceprint recognition.

[0044] 2. Voice collection unit 2: The function of this unit is to accurately convert the user's voice commands into digital signals, providing high-quality input data for subsequent processing. This unit specifically includes a microphone, a noise reduction module and a voice digitizer. The microphone collects the user's voice signal in real time; the noise reduction module performs noise reduction processing on the collected voice signal to reduce the impact of environmental noise on the voice signal and improve the clarity of the voice signal; the voice digitizer converts the analog voice signal that has undergone noise reduction processing into a digital signal for subsequent voiceprint recognition and voice recognition, and outputs it to the voiceprint verification module 3.

[0045] 3. Voiceprint verification module 3: This unit is the core part of the entire voiceprint recognition unlocking system. It is responsible for comparing the user's current voiceprint information with the pre-entered voiceprint information, and confirming the user's identity by judging whether the voiceprint matches, ensuring that only legitimate users can unlock the glove box. After receiving the digital signal output by the voice acquisition unit 2, the unit will extract the user's current voiceprint information and compare it with the voiceprint information stored in the user's voiceprint entry unit 1. If the voiceprint matches successfully, the voiceprint verification module 3 will send a recognition request to the voice recognition module 4; if the voiceprint matches unsuccessfully, the voiceprint verification module 3 will trigger the audio output module 8 to output a prompt tone to remind the user to re-enter.

[0046] 4. Voice recognition module 4: This unit converts the user's voice command into processable semantic information to provide a command basis for subsequent control operations. After receiving the recognition request from the voiceprint verification module 3, this unit will start to receive the user's voice command, recognize the command content, convert it into text or semantic information, and transmit the recognized semantic information to the main control module 5.

[0047] 5. Main control module 5, which is the control center of the whole system, can parse and convert user commands, generate control signals, and control the opening or closing of the glove box. It is responsible for receiving the semantic information of the voice recognition module 4, parsing the semantic information, identifying the specific command content of the user, and generating corresponding control signals according to the command content. When matching the opening or closing command of the glove box, the main control module 5 will send the control signal to the control module 7 through the Can network signal module 6.

[0048] 6. Can network signal module 6, the function of this module is to realize reliable transmission of control signals. This module is used to transmit the control signal sent by the main control module 5 to the glove box control module 7 to realize opening or closing of the glove box.

[0049] 7. Control module 7: This module is used to directly control the glove box and perform corresponding operations according to the control signal. This module is used to receive the control signal transmitted by the Can network signal module 6, analyze the control signal, identify the specific control instruction, and control the opening or closing of the glove box according to the control instruction.

[0050] 8. Audio output module 8. The function of this module is to enhance the user's interactive experience with the system through sound feedback, and improve the convenience and accuracy of operation. This module is used to output a prompt tone to indicate successful interaction after the command is successfully executed; or when an invalid command is identified, it outputs a prompt tone to remind the user to re-enter or enter the correct command. This module can play a prompt tone through a speaker or other device to remind the user of the current operation status or the operation to be performed.

[0051] Since the voice commands collected during vehicle driving may contain other noises that interfere with the verification results of the voice commands, a noise detection unit can be set before the voiceprint verification module 3 performs voiceprint verification to pre-identify the noise in the voice commands, and ignore the voice commands with medium noise and moderate noise as the recognition results, and do not continue the voiceprint verification, so as to avoid the interference of noise in the voice commands during the voiceprint verification; for the voice commands with no noise, almost no noise, and slight noise as the recognition results, the voiceprint verification can be continued, and the specific method is as follows:

[0052] (1) First, establish a voiceprint index set X = {x1, x2, ..., xn}, select x1 as human voice, x2 as the driving sound of the vehicle, x3 as the external horn sound, and x4 as the environmental animal sound, unit: dB. as the index.

[0053] (2) A standard sample set E = {E1, E2, ..., Eh} is established on the voiceprint index set X, where voiceprint E1 is Class I, E2 is Class II, E3 is Class III, E4 is Class IV, and E5 is Class V. The pollution levels are completely noiseless, basically noiseless, slight noise, moderate noise, and severe noise, and the sample set to be evaluated C = {C1, C2, ..., Ck} is established to obtain the original data, where Ci is the data collected at sampling point i; Table 1 shows the sample data to be evaluated and the urban voiceprint noise sample data, and a total of 3 sampling point data are selected.

[0054] (3) Create a Vague environment; transform the original data into Vague set data according to the formula;

[0055] Where xjmax=max{xj1,xj2,xj3,xj4,xj5,xj6,xj7,xj8}, j=1,2,3,4.

[0056] (4) For the vague value x = [tx, 1-fx] of an element x in A, tx, fx, πx = 1-tx-fx, Sx = tx-fx are respectively called the affirmation, negation, hesitation, and core of the element x with respect to the vague set A. And the definitions of the vague sets E and C on the discrete domain X = {x1, x2, …, xn} are E = ([tE(x1), 1-fE(x1)], [tE(x2), 1-fE(x2)], …, [tE(xn), 1-fE(xn)]), C = ([tC(x1), 1-fC(x1)], [tC(x2), 1-fC(x2)], …, [tC(xn), 1-fC(xn)]). The formula for calculating the distance between the Vague set of the sample Cj (j=1,2,…,k) of the sound to be evaluated and the Vague set of the standard sample Ei (i=1,2,…,h) is: (m=0,1,2,…).

[0057] Here, we take parameter m=2 and calculate the distance between the Vague set of the sample to be evaluated Ci (i=1,2,3) and the Vague set of the standard sample Ei (i=1,2,3,4,5). The results are as follows:

[0058] d(C1,E1)=0.207, d(C1,E2)=0.104, d(C1,E3)=0.250,

[0059] d(C1,E4)=0.451, d(C1,E5)=0.603.

[0060] d(C2,E1)=0.212, d(C2,E2)=0.140, d(C2,E3)=0.229,

[0061] d(C2,E4)=0.461, d(C2,E5)=0.599.

[0062] d(C3,E1)=0.225, d(C3,E2)=0.160, d(C3,E3)=0.267

[0063] d(C3,E4)=0.448, d(C3,E5)=0.600

[0064] (5) Sort the distances calculated in step (4) by numerical value. The one with the smallest distance is the noise recognition result of the sample to be evaluated. Then the sample to be evaluated Cj belongs to the standard sample, where i1i2…ih is a complete arrangement of 1,2,…,h without repetition, and the algorithm ends.

[0065] Sort the calculation results of step (4) to get:

[0066] d(C1,E2)<d(C1,E1)<d(C1,E3)<d(C1,E4)<d(C1,E5)

[0067] d(C2,E2)<d(C2,E1)<d(C2,E3)<d(C2,E4)<d(C2,E5)

[0068] d(C3,E2)<d(C3,E1)<d(C3,E3)<d(C3,E4)<d(C3,E5)

[0069] So we can get:

[0070] C1 belongs to standard sample E2, which is Class II and basically noise-free.

[0071] C2 belongs to the standard sample E2, which is Class II and basically noise-free.

[0072] C3 belongs to standard sample E2, which is Class II and basically noise-free.

[0073] In order to improve the robustness of the system, other biometric modules, such as fingerprint recognition or facial recognition, can also be combined as auxiliary verification methods for voiceprint recognition. For example, when voiceprint recognition fails, the system can require the user to perform fingerprint recognition or facial recognition to further confirm the user's identity.

[0074] Considering that the user may use the vehicle in a noisy environment, the present invention can also use a multi-microphone array to improve the recognition accuracy of the user's voiceprint through sound source localization technology. In addition, the system can also adapt to the user's voice changes, such as colds, mood changes, etc., by learning the user's voiceprint change pattern.

[0075] In order to enhance security, the voiceprint recognition system of the present invention can be set up with multi-level security verification. For example, the system can require the user to provide two or more voiceprint samples at the same time when unlocking the glove box. The glove box will only be unlocked when all samples are successfully matched.

[0076] The present invention can also be combined with the vehicle's intelligent system to achieve a more intelligent unlocking method. For example, when the system detects that the vehicle is in an emergency state, such as when the vehicle is hit, the system can automatically unlock the glove box so that the user can quickly take out emergency items.

[0077] In summary, each module plays an important role in the vehicle glove box unlocking solution based on voiceprint recognition. They work together to realize the recognition of user voiceprints, parsing and execution of commands, thereby realizing the automatic unlocking function of the glove box.

[0078] Embodiment 2:

[0079] This embodiment provides a vehicle glove box unlocking method based on voiceprint recognition, which is implemented based on a vehicle glove box unlocking system based on voiceprint recognition described in Embodiment 1 and includes the following steps:

[0080] Step 1: Create a user's voiceprint file through the user voiceprint entry unit to provide data support for subsequent voiceprint recognition;

[0081] Step 2: The voice acquisition unit collects the voice command of the current user, converts the analog sound signal of the voice command into a digital signal, and outputs it to the voiceprint verification module;

[0082] Step 3: The voiceprint verification module receives the digital signal output by the voice collection unit, extracts the voiceprint information of the current user, and compares it with the voiceprint file to determine whether the voiceprint matches: After the voiceprint verification module confirms that the voiceprint matches, it sends the voiceprint information to the voice recognition module. If there is no match, the subsequent steps will not be executed;

[0083] Step 4: After receiving the voice command of the current user, the voice recognition module recognizes the command content and transmits the semantic information to the main control module;

[0084] Step 5: The main control module receives the semantic information from the voice recognition module and generates a corresponding control signal according to the command content. When the opening or closing command of the glove box is matched, the main control module will send a control signal to the control module through the Can network signal module;

[0085] Step 6: The control module receives the control signal transmitted by the Can network signal module, and controls the opening or closing of the glove box according to the control signal;

[0086] Step 7: After the command is successfully executed, the audio output module outputs a prompt tone to indicate successful interaction; or when an invalid command is identified, the audio output module outputs a prompt tone to remind the user to re-enter or enter the correct command.

[0087] Embodiment three:

[0088] The embodiment of the present invention further provides a vehicle glove box unlocking device based on voiceprint recognition, which can implement a vehicle glove box unlocking method based on voiceprint recognition described in the second embodiment, including a processor and a storage medium;

[0089] The storage medium is used to store instructions;

[0090] The processor is used to operate according to the instructions to perform the steps of the following method:

[0091] Collect the current user's voice commands;

[0092] Extract the voiceprint information in the voice command for voiceprint verification;

[0093] Convert the verified voice commands into processable semantic information;

[0094] A control signal is sent according to the semantic information to control the opening or closing of the glove box.

[0095] Embodiment 4:

[0096] The embodiment of the present invention further provides a computer-readable storage medium, which can implement the vehicle glove box unlocking method based on voiceprint recognition described in the second embodiment, and stores a computer program thereon, which implements the steps of the following method when executed by a processor:

[0097] Collect the current user's voice commands;

[0098] Extract the voiceprint information in the voice command for voiceprint verification;

[0099] Convert the verified voice commands into processable semantic information;

[0100] A control signal is sent according to the semantic information to control the opening or closing of the glove box.

[0101] It is known from common technical knowledge that the present invention can be implemented by other embodiments that do not deviate from its spirit or essential features. Therefore, the above disclosed embodiments are only illustrative in all respects and are not exclusive. All changes within the scope of the present invention or within the scope equivalent to the present invention are included in the present invention.

[0102] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0103] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1A device that provides the functions specified in a block or multiple blocks.

[0104] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0105] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0106] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A vehicle glove box unlocking system based on voiceprint recognition, characterized in that: include: Voice collection unit: collects the current user's voice commands and outputs them to the voiceprint verification module; Voiceprint verification module: extracts voiceprint information from voice commands for voiceprint verification, and sends the verified voice commands to the voice recognition module; Speech recognition module: converts speech commands into processable semantic information and transmits it to the main control module; Main control module: sends control signals based on semantic information to control the opening or closing of the glove box.

2. According to the vehicle glove box unlocking system based on voiceprint recognition according to claim 1, it is characterized in that: The system also includes a user voiceprint entry unit, which extracts the user's voiceprint features by pre-entering the user's voiceprint information, establishes the user's voiceprint file and stores it in the system database, providing data support for the voiceprint verification module.

3. The vehicle glove box unlocking system based on voiceprint recognition according to claim 1 is characterized in that: The voice collection unit includes a microphone, a noise reduction module and a voice digitizer. The microphone collects the user's voice signal in real time; the noise reduction module performs noise reduction processing on the collected voice signal; the voice digitizer converts the noise-reduced voice signal into a digital signal and outputs it to the voiceprint verification module.

4. The vehicle glove box unlocking system based on voiceprint recognition according to claim 1 is characterized in that: The system further comprises a Can network signal module and a control module. The main control module sends a control signal to the control module via the Can network signal module, and the control module controls the opening or closing of the glove box according to the control signal.

5. The vehicle glove box unlocking system based on voiceprint recognition according to claim 1 is characterized in that: The system further includes an audio output module, which: in response to the opening or closing of the glove box, outputs a prompt tone to indicate successful interaction; in response to the voice recognition module recognizing an invalid voice command, outputs a prompt tone to remind the user to re-enter or enter a correct command; In response to successful voiceprint verification, the voiceprint verification module sends the verified voice command to the voice recognition module; in response to failed voiceprint verification, the audio output module is triggered to output a prompt sound to remind the user to re-enter.

6. The vehicle glove box unlocking system based on voiceprint recognition according to claim 1 is characterized in that: The system also includes a noise detection unit for pre-identifying whether there is noise in the voice command. After receiving the voice command, the noise detection unit establishes a voiceprint indicator set, establishes a standard sample set on the voiceprint indicator set, and then creates a Vague environment, converts the sample to be evaluated and the standard sample set into Vague set data according to a formula, calculates the distance between the Vague set of the sample to be evaluated and the Vague set of the standard sample set, sorts the calculated distances by numerical values, and takes the one with the smallest distance as the noise recognition result of the sample to be evaluated, and the noise recognition results include completely noiseless, basically noiseless, slight noise, moderate noise, and severe noise; voice commands with recognition results of moderate noise and severe noise are ignored, and voiceprint verification is not continued; voice commands with recognition results of completely noiseless, basically noiseless, and slight noise can continue to be verified.

7. The vehicle glove box unlocking system based on voiceprint recognition according to claim 1 is characterized in that: The system further comprises a biometric identification module, which performs fingerprint identification or facial identification on the user in response to the failure of the voiceprint verification module to further confirm the identity of the user.

8. A vehicle glove box unlocking method based on voiceprint recognition, characterized in that: include: Collect the current user's voice commands; Extract the voiceprint information in the voice command for voiceprint verification; Convert the verified voice commands into processable semantic information; A control signal is sent according to the semantic information to control the opening or closing of the glove box.

9. A vehicle glove box unlocking device based on voiceprint recognition, characterized in that: including processor and storage medium; The storage medium is used to store instructions; The processor is configured to operate according to the instructions to execute the steps of the method according to claim 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to claim 8 are implemented.

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