WO2023071730A1

WO2023071730A1 - Voiceprint registration method and electronic devices

Info

Publication number: WO2023071730A1
Application number: PCT/CN2022/123912
Authority: WO
Inventors: 房英康
Original assignee: 华为技术有限公司
Priority date: 2021-10-28
Filing date: 2022-10-08
Publication date: 2023-05-04
Also published as: CN116052692A

Abstract

A voiceprint registration method and electronic devices (101, 102, 103, 104), related to the field of voiceprint registration technology, and capable of improving the accuracy of voiceprint authentication. The method comprises: acquiring a first voice signal and acquiring first parameter information used for instructing a second electronic device to acquire a parameter of the voice signal (S301); adjusting the first voice signal in accordance with the first parameter information, to obtain a second voice signal (S302); generating a first voiceprint model in accordance with the second voice signal (S303); and using the first voiceprint model to authenticate the voice signal acquired by the second electronic device (S304a), or sending the first voiceprint model to the second electronic device (S304b).

Description

Voiceprint registration method and electronic device

"This application claims the priority of a patent application filed with the State Intellectual Property Office on October 28, 2021, with application number 202111266367.4, and the title of the invention is "Voiceprint Registration Method and Electronic Equipment", the entire contents of which are incorporated in this application by reference." middle".

technical field

The present application relates to the technical field of voiceprint registration, in particular to a voiceprint registration method and electronic equipment.

Background technique

In recent years, electronic devices have developed extremely rapidly, and most electronic devices have voice interaction functions. Through the voice interaction function, the user can have a conversation with the electronic device, or can make the electronic device execute the user's command, which is very convenient. Therefore, the voice interaction function has gradually become an indispensable function of electronic devices.

Usually, voiceprint registration is required before the user performs voice interaction with the electronic device. That is to say, the electronic device can collect the voice signal of the user, extract the voiceprint according to the collected voice signal, and perform registration. Subsequently, when the user performs voice interaction with the electronic device, the electronic device can authenticate the user according to the voiceprint. If the authentication is successful, the user can perform voice interaction with the electronic device. If the authentication fails, the user cannot perform voice interaction with the electronic device.

At present, in order to improve the security of voice interaction, the accuracy of voiceprint authentication is increasingly required. However, there are differences in the hardware of different electronic devices, and the environments in which different electronic devices are located may also be quite different, so the voiceprints extracted from the voice signals of the same user collected by different electronic devices also have certain differences. Therefore, in an environment where multiple electronic devices work together, if the voice signal collected by one electronic device needs to be authenticated by other electronic devices, the accuracy of voiceprint authentication will be low.

Contents of the invention

Embodiments of the present application provide a voiceprint registration method and electronic equipment, which can improve the accuracy of voiceprint authentication.

In order to achieve the above object, the embodiments of the present application adopt the following technical solutions:

In the first aspect, a voiceprint registration method is provided, which is applied to a first electronic device, and the method includes: acquiring a first voice signal and first parameter information used to instruct a second electronic device to collect parameters of the voice signal; according to the The first parameter information adjusts the first voice signal to obtain a second voice signal; generates a first voiceprint model based on the second voice signal, sends the first voiceprint model to the second electronic device, or The fingerprint model authenticates the voice signal collected by the second electronic device.

Based on the method provided in the first aspect above, the first electronic device can acquire the first voice signal and the first parameter information corresponding to the second electronic device, adjust the first voice signal according to the first parameter information, and obtain a voice signal suitable for the second electronic device. The second voice signal (the second voice signal can be equivalent to the voice signal collected by the second electronic device, that is to say, the first electronic device can simulate the voice signal collected by the second electronic device according to the first voice signal and the first parameter information ), and generate the first voiceprint model according to the second speech signal. In this way, it is possible to collect a voice signal once, simulate the voice signal collected by the second electronic device according to the voice signal, and perform voiceprint registration according to the simulated voice signal (ie, the second voice signal). Wherein, the first electronic device is the second voice signal simulated according to the parameters of the voice signal collected by the second electronic device. Therefore, the similarity between the second voice signal and the voice signal actually collected by the second electronic device is very high, so according to the first The first voiceprint model generated from the second voice signal performs voiceprint authentication on the voice signal collected by the second electronic device, which can improve the accuracy of voiceprint authentication.

In a possible implementation manner, the first parameter information includes at least one of the following: the microphone type of the second electronic device, the sampling rate of the second electronic device, the encoding method of the second electronic device, or the second Information about the environment in which the electronic device is located. Based on the above method, the first speech signal can be adjusted according to the above at least one parameter to obtain the second speech signal, which improves the flexibility and diversity of adjusting the first speech signal.

In a possible implementation manner, adjusting the first speech signal according to the first parameter information to obtain the second speech signal includes: using a first algorithm to make the parameters of the first speech signal approach the value indicated by the first parameter information parameters to obtain the second speech signal. Based on the above method, the parameters of the first voice signal can be made to approach the parameters indicated by the first parameter information, so that the second voice signal has a higher similarity with the voice signal actually collected by the second electronic device.

In a possible implementation manner, acquiring the first voice signal includes: receiving the first voice signal from a third electronic device; or, collecting the first voice signal. Based on the above method, the first electronic device may obtain the first voice signal from the third electronic device, or collect the first voice signal by itself.

In a possible implementation manner, authenticating the voice signal collected by the second electronic device according to the first voiceprint model includes: receiving the voice signal collected by the second electronic device from the second electronic device; The voice signal collected by the second electronic device is input into the first voiceprint model for voiceprint authentication. Based on the above method, the first voiceprint model corresponding to the second electronic device can be used to perform voiceprint authentication on the voice signal collected by the second electronic device, which improves the accuracy of voiceprint authentication.

In a possible implementation manner, the method further includes: acquiring second parameter information, where the second parameter information is used to instruct the first electronic device to collect parameters of voice signals; adjusting the first voice signal according to the second parameter information signal to obtain a third voice signal; a second voiceprint model is generated according to the third voice signal, and the voice signal collected by the first electronic device is authenticated according to the second voiceprint model. Based on the method above, the first electronic device can obtain the second parameter information corresponding to the first electronic device, adjust the first voice signal according to the second parameter information, and obtain a third voice signal suitable for the first electronic device (the third voice signal It can be equivalent to the voice signal collected by the first electronic device, that is, the first electronic device can simulate the voice signal collected by the first electronic device according to the first voice signal and the second parameter information), and generate the second voice signal according to the third voice signal Two voiceprint models. In this way, it is possible to collect a voice signal once, simulate the voice signal collected by the first electronic device according to the voice signal, and perform voiceprint registration according to the simulated voice signal (ie, the third voice signal). Wherein, the first electronic device is the third voice signal simulated according to the parameters of the voice signal collected by the first electronic device. Therefore, the similarity between the third voice signal and the voice signal actually collected by the first electronic device is very high, so according to the first electronic device The second voiceprint model generated from the three voice signals performs voiceprint authentication on the voice signals collected by the first electronic device, which can improve the accuracy of voiceprint authentication. In addition, if the first voice signal is collected by the first electronic device, adjusting the first voice signal through the second parameter information can enrich the voice signal used for voiceprint registration and further improve the accuracy of voiceprint authentication.

In a possible implementation manner, the second parameter information includes at least one of the following: the microphone type of the first electronic device, the sampling rate of the first electronic device, the encoding method of the first electronic device, or the first Information about the environment in which the electronic device is located. Based on the above method, the first voice signal can be adjusted according to the above at least one parameter to obtain the third voice signal, which improves the flexibility and diversity of adjusting the first voice signal.

In a possible implementation manner, adjusting the first speech signal according to the second parameter information to obtain the third speech signal includes: using a second algorithm to make the parameters of the first speech signal approach the value indicated by the second parameter information parameters to obtain the third speech signal, and the second algorithm is the same as or different from the first algorithm. Based on the above method, the parameters of the first voice signal can be made to approach the parameters indicated by the second parameter information, so that the third voice signal has a higher similarity with the voice signal actually collected by the first electronic device.

In a possible implementation manner, authenticating the voice signal collected by the first electronic device according to the second voiceprint model includes: collecting the voice signal; inputting the voice signal collected by the first electronic device into the second voice The fingerprint model is used for voiceprint authentication. Based on the above method, the second voiceprint model corresponding to the first electronic device can be used to perform voiceprint authentication on the voice signal collected by the first electronic device, which improves the accuracy of voiceprint authentication.

In a possible implementation manner, the method further includes: acquiring third parameter information, where the third parameter information is used to instruct the fourth electronic device to collect parameters of the voice signal; adjusting the first voice signal according to the third parameter information , to obtain a fourth voice signal; generate a third voiceprint model according to the fourth voice signal, send the third voiceprint model to the fourth electronic device, or collect the voice of the fourth electronic device according to the third voiceprint model The signal is authenticated. Based on the above method, the first electronic device can obtain the third parameter information corresponding to the fourth electronic device, adjust the first voice signal according to the third parameter information, and obtain the fourth voice signal suitable for the fourth electronic device (the fourth voice signal It can be equivalent to the voice signal collected by the fourth electronic device, that is, the first electronic device can simulate the voice signal collected by the fourth electronic device according to the first voice signal and the third parameter information), and generate the first voice signal according to the fourth voice signal Three voiceprint models. In this way, it is possible to collect a voice signal once, simulate the voice signal collected by the fourth electronic device according to the voice signal, and perform voiceprint registration according to the simulated voice signal (that is, the fourth voice signal). Wherein, the first electronic device is the fourth voice signal simulated according to the parameters of the voice signal collected by the fourth electronic device. Therefore, the similarity between the fourth voice signal and the voice signal actually collected by the fourth electronic device is very high, so according to the first The third voiceprint model generated from the four voice signals performs voiceprint authentication on the voice signals collected by the fourth electronic device, which can improve the accuracy of voiceprint authentication.

In a possible implementation manner, the third parameter information includes at least one of the following: the microphone type of the fourth electronic device, the sampling rate of the fourth electronic device, the encoding method of the fourth electronic device, or the fourth Information about the environment in which the electronic device is located. Based on the above method, the first speech signal can be adjusted according to the above at least one parameter to obtain the fourth speech signal, which improves the flexibility and diversity of adjusting the first speech signal.

In a possible implementation manner, adjusting the first speech signal according to the third parameter information to obtain the fourth speech signal includes: using a third algorithm to make the parameters of the first speech signal approach the value indicated by the third parameter information parameters to obtain the fourth speech signal, the third algorithm is the same or different from the first algorithm, and the third algorithm is the same or different from the second algorithm. Based on the above method, the parameters of the first voice signal can be made to approach the parameters indicated by the third parameter information, so that the fourth voice signal has a higher similarity with the voice signal actually collected by the fourth electronic device.

In a possible implementation manner, authenticating the voice signal collected by the fourth electronic device according to the third voiceprint model includes: receiving the voice signal collected by the fourth electronic device from the fourth electronic device; The voice signal collected by the fourth electronic device is input into the third voiceprint model for voiceprint authentication. Based on the above method, the third voiceprint model corresponding to the fourth electronic device can be used to perform voiceprint authentication on the voice signal collected by the fourth electronic device, which improves the accuracy of voiceprint authentication.

In the second aspect, the embodiment of the present application provides an electronic device, the electronic device includes: an acquisition module, a processing module, and a sending module; The first parameter information of the parameter; the processing module is used to adjust the first voice signal according to the first parameter information to obtain a second voice signal; the processing module is also used to generate a first voiceprint model according to the second voice signal; A sending module, configured to send the first voiceprint model to the second electronic device. Alternatively, the electronic device includes: an acquisition module and a processing module; the acquisition module is used to acquire the first voice signal and the first parameter information used to instruct the second electronic device to collect parameters of the voice signal; the processing module is used to obtain the first voice signal according to the first parameter information A parameter information adjusts the first voice signal to obtain a second voice signal; the processing module is also used to generate a first voiceprint model according to the second voice signal; the processing module is also used to generate the first voiceprint model according to the first voiceprint model. The voice signal collected by the second electronic device is used for authentication.

In a possible implementation manner, the first parameter information includes at least one of the following: the microphone type of the second electronic device, the sampling rate of the second electronic device, the encoding method of the second electronic device, or the second Information about the environment in which the electronic device is located.

In a possible implementation manner, the processing module is specifically configured to use a first algorithm to make a parameter of the first speech signal approach a parameter indicated by the first parameter information to obtain the second speech signal.

In a possible implementation manner, the obtaining module is specifically configured to receive the first voice signal from the third electronic device; or, the obtaining module is specifically configured to collect the first voice signal.

In a possible implementation manner, the processing module is specifically configured to receive the voice signal collected by the second electronic device from the second electronic device; the processing module is also specifically configured to input the voice signal collected by the second electronic device into The first voiceprint model performs voiceprint authentication.

In a possible implementation manner, the acquiring module is further configured to acquire second parameter information, where the second parameter information is used to instruct the first electronic device to collect parameters of voice signals; the processing module is also configured to The parameter information adjusts the first voice signal to obtain a third voice signal; the processing module is also used to generate a second voiceprint model according to the third voice signal, and the processing module is also used to generate the second voiceprint model according to the second voiceprint model. The voice signal collected by an electronic device is used for authentication.

In a possible implementation manner, the second parameter information includes at least one of the following: the microphone type of the first electronic device, the sampling rate of the first electronic device, the encoding method of the first electronic device, or the first Information about the environment in which the electronic device is located.

In a possible implementation manner, the processing module is specifically configured to use the second algorithm to make the parameters of the first speech signal approach the parameters indicated by the second parameter information to obtain the third speech signal, and the second algorithm and the second An algorithm is the same or different.

In a possible implementation manner, the processing module is specifically configured to collect voice signals; the processing module is further specifically configured to input the voice signals collected by the first electronic device into the second voiceprint model for voiceprint authentication.

In a possible implementation manner, the acquiring module is further configured to acquire third parameter information, where the third parameter information is used to instruct the fourth electronic device to collect parameters of voice signals; the processing module is also configured to information to adjust the first voice signal to obtain a fourth voice signal; the processing module is also used to generate a third voiceprint model according to the fourth voice signal, and the sending module is also used to send the third voice signal to the fourth electronic device The fingerprint model, or the processing module, is further configured to authenticate the voice signal collected by the fourth electronic device according to the third voiceprint model.

In a possible implementation manner, the third parameter information includes at least one of the following: the microphone type of the fourth electronic device, the sampling rate of the fourth electronic device, the encoding method of the fourth electronic device, or the fourth Information about the environment in which the electronic device is located.

In a possible implementation manner, the processing module is further configured to use a third algorithm to make the parameters of the first speech signal approach the parameters indicated by the third parameter information to obtain the fourth speech signal, and the third algorithm and the first The first algorithm is the same or different, and the third algorithm is the same or different from the second algorithm.

In a possible implementation manner, the processing module is further configured to receive the voice signal collected by the fourth electronic device from the fourth electronic device; the processing module is also configured to input the voice signal collected by the fourth electronic device into the fourth electronic device. Three voiceprint models are used for voiceprint authentication.

In a third aspect, an electronic device is provided, including: a processor; the processor is configured to be coupled with a memory, and after reading an instruction in the memory, execute the method according to any one of the above aspects according to the instruction. The electronic device may be the first electronic device in the above first aspect.

With reference to the third aspect above, in a possible implementation manner, the electronic device further includes a memory, where the memory is configured to store necessary program instructions and data.

With reference to the third aspect above, in a possible implementation manner, the electronic device is a chip or a chip system. Optionally, when the electronic device is a system-on-a-chip, it may consist of chips, or may include chips and other discrete devices.

In a fourth aspect, an electronic device is provided, including: a processor and an interface circuit; the interface circuit is used to receive computer programs or instructions and transmit them to the processor; the processor is used to execute the computer programs or instructions, so that the electronic The device executes the method described in the first aspect above.

With reference to the fourth aspect above, in a possible implementation manner, the electronic device is a chip or a chip system. Optionally, when the electronic device is a system-on-a-chip, it may consist of chips, or may include chips and other discrete devices.

In a fifth aspect, a computer-readable storage medium is provided, and instructions are stored in the computer-readable storage medium, and when the computer-readable storage medium is run on a computer, the computer can execute the method described in the above-mentioned first aspect.

A sixth aspect provides a computer program product containing instructions, which when run on a computer enables the computer to execute the method described in the first aspect above.

Wherein, the technical effects brought about by any one of the possible implementations from the second aspect to the sixth aspect can refer to the above-mentioned first aspect or the technical effects brought about by different possible implementations in the first aspect, which are not repeated here. repeat.

Description of drawings

FIG. 1 is a schematic diagram of the architecture of the voiceprint registration system provided by the embodiment of the present application;

FIG. 2 is a schematic structural diagram of a mobile phone provided by an embodiment of the present application;

FIG. 3 is a first schematic flow diagram of the voiceprint registration method provided by the embodiment of the present application;

FIG. 4 is a schematic flow diagram II of the voiceprint registration method provided by the embodiment of the present application;

FIG. 5 is a schematic flow diagram III of the voiceprint registration method provided by the embodiment of the present application;

FIG. 6 is a schematic diagram of the structure and composition of an electronic device provided by an embodiment of the present application.

Detailed ways

The terms used in the following examples are for the purpose of describing particular examples only, and are not intended to limit the application. As used in the specification and appended claims of this application, the singular expressions "a", "an", "said", "above", "the" and "this" are intended to also Expressions such as "one or more" are included unless the context clearly dictates otherwise. It should also be understood that in the following embodiments of the present application, "at least one" and "one or more" refer to one, two or more than two. The term "and/or" is used to describe the relationship between associated objects, indicating that there may be three relationships; for example, A and/or B may indicate: A exists alone, A and B exist at the same time, and B exists alone, Wherein A and B can be singular or plural. The character "/" generally indicates that the contextual objects are an "or" relationship.

Reference to "one embodiment" or "some embodiments" or the like in this specification means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in other embodiments," etc. in various places in this specification are not necessarily All refer to the same embodiment, but mean "one or more but not all embodiments" unless specifically stated otherwise. The terms "including", "comprising", "having" and variations thereof mean "including but not limited to", unless specifically stated otherwise. The term "connected" includes both direct and indirect connections, unless otherwise stated.

It should be noted that the names of messages between electronic devices or the names of parameters in messages in the following embodiments of this application are just examples, and other names can also be used in specific implementations, and this embodiment of this application does not make specific limited.

In order to facilitate the description of the technical solutions of the embodiments of the present application, in the embodiments of the present application, words such as "first" and "second" may be used to distinguish technical features with the same or similar functions. The words "first" and "second" do not limit the number and execution order, and the words "first" and "second" do not necessarily mean that they must be different. In the embodiments of this application, words such as "exemplary" or "for example" are used to represent examples, illustrations or illustrations, and any embodiment or design described as "exemplary" or "for example" should not be interpreted It is more preferred or more advantageous than other embodiments or design solutions. The use of words such as "exemplary" or "for example" is intended to present related concepts in a specific manner for easy understanding. In addition, in the embodiment of the present application, for a technical feature, the technical features of this technical feature are distinguished by "first", "second", "third", etc., the "first", "second" ", "Third" describes the technical features in no order or order of magnitude.

It can be understood that, in the embodiments of the present application, the same step or steps or technical features having the same function can be used for reference in different embodiments.

From the description in the background technology, it can be known that due to the differences in the hardware of different electronic devices, and the environment in which different electronic devices are located may also be quite different, so the voiceprint extracted from the voice signal of the same user collected by different electronic devices There are also certain differences. Therefore, in an environment where multiple electronic devices work together, if the voice signal collected by one electronic device needs to be authenticated by other electronic devices, the accuracy of voiceprint authentication will be low.

In order to solve the problem of low accuracy of voiceprint authentication, the embodiment of this application provides the following three methods:

Method 1: A voiceprint registration algorithm can be preset in the electronic device. The voiceprint registration algorithm is trained according to different environments, different sound receiving hardware, and different speakers' voice signals. After the electronic device obtains the voice signal for registration, it can use the voiceprint registration algorithm to perform voiceprint registration on the voice signal for registration to establish a voiceprint model. Subsequently, the electronic device can authenticate the user according to the voiceprint model. Because the voiceprint registration algorithm is trained according to the voice signals of different environments, different sound receiving hardware, and different speakers, the algorithm can extract more comprehensive and in-depth voiceprint information, which is more robust and can improve voiceprint registration. Accuracy of the model for voiceprint authentication.

Method 2: voiceprint registration can be performed on each of the multiple electronic devices. Subsequently, the user can perform authentication on each electronic device. Because the device used by the user for registration and authentication is the same device, the accuracy of voiceprint authentication can be improved.

Method 3: The first electronic device can obtain the first voice signal and the first parameter information, adjust the first voice signal according to the first parameter information to obtain the second voice signal, generate the first voiceprint model according to the second voice signal, and send the first voiceprint model to the second voice signal. The second electronic device sends the first voiceprint model or authenticates the voice signal collected by the second electronic device according to the first voiceprint model. Wherein, the first parameter information may be used to instruct the second electronic device to collect parameters of the voice signal. The specific process of method 3 will be described in detail in the method shown in FIG. 3 below, and will not be repeated here.

It can be understood that, compared with method 1, method 3 does not need to collect speech signals of different environments, different sound receiving hardware, and different speakers, the training cost is lower, and the complexity of the model is also lower. In addition, in Method 1, the voiceprint registration algorithm is preset in the electronic device. When the environment, hardware and other conditions of the electronic device change, it is difficult to update and the user experience is poor. In method 3, the first parameter information can be updated at any time, and the first voice signal can be adjusted according to the updated first parameter information, which is more flexible and provides better user experience. Compared with method 2, method 3 does not need to perform voiceprint registration on each of the multiple electronic devices, and the user experience is better. Moreover, for electronic devices that do not support voiceprint registration, method 3 can also assist them in authenticating users to improve the security of voice interaction.

The implementation of the embodiment of the present application will be described in detail below with reference to the accompanying drawings.

As shown in FIG. 1 , it is a schematic diagram of the structure of the voiceprint registration system provided by the embodiment of the present application. The voiceprint registration system may at least include: an electronic device 101 and an electronic device 102 . Optionally, the voiceprint registration system may further include an electronic device 103 and/or an electronic device 104 .

Between the electronic devices in Fig. 1 (such as between the electronic device 101 and the electronic device 102, between the electronic device 101 and the electronic device 103) can be wired (such as a universal serial bus (universal serial bus, USB) data line) or The connection is established in a wireless manner, and the embodiment of the present application does not limit the specific connection manner. When the electronic devices in Figure 1 are connected wirelessly, the wireless communication protocol adopted can be a wireless fidelity (Wi-Fi) protocol, various cellular networks (such as the fourth generation (4th generation, 4G ) communication network or the fifth generation (5th generation, 5G) communication network) protocol, etc., there is no specific limitation here.

In some embodiments, the electronic device in FIG. 1 may form a HyperTerminal. For example, identity authentication between the electronic devices in FIG. 1 can be performed based on any authentication mechanism (such as the HiChian mechanism), and electronic devices that pass the authentication can form a hyper terminal. It can be understood that the HyperTerminal may include multiple electronic devices, the multiple electronic devices are in a network connection state, and the multiple electronic devices are mutually trusted devices.

During specific implementation, the electronic equipment in Fig. 1, for example electronic equipment 101, electronic equipment 102, electronic equipment 103 or electronic equipment 104, can be mobile phone, panel computer, handheld computer, personal computer (personal computer, PC), cell phone , personal digital assistant (personal digital assistant, PDA), wearable devices (such as smart watches, smart bracelets, etc.), game consoles, or augmented reality (augmented reality, AR) / virtual reality (virtual reality, VR) equipment, etc. Electronic equipment. The embodiment of the present application does not specifically limit the specific device form of the electronic device in FIG. 1 . For example, the electronic device in FIG. 1 may also be a smart home device (such as a TV, a smart speaker), a vehicle-mounted computer (or called a vehicle machine), and the like. And in the embodiment of the present application, the device forms of the electronic devices in FIG. 1 may be the same. For example, both the electronic device 101 and the electronic device 102 are mobile phones. The device form of the electronic device in FIG. 1 may also be different. For example, the electronic device 101 is a mobile phone, and the electronic device 102 is a tablet computer. For another example, the electronic device 101 is a smart watch, and the electronic device 102 is a PC.

The electronic device in FIG. 1 may be a touch screen device or a non-touch screen device. Touch screen devices can control electronic devices by clicking and sliding on the screen with fingers, stylus, etc. Non-touch screen devices can be connected to input devices such as a mouse, keyboard, and touch panel, and electronic devices can be controlled through the input devices. In the embodiment of the present application, the electronic devices in FIG. 1 are all electronic devices capable of running an operating system and installing applications. Wherein, the operating system of the electronic device in FIG. 1 may be a Hongmeng system, an Android system, an ios system, a windows system, a mac system, a Linux system, etc., which are not specifically limited in this embodiment of the present application. The operating systems of the electronic devices in FIG. 1 may be the same or different. As an example, the electronic devices in FIG. 1 may respectively include a memory and a processor. Wherein, the memory can be used to store the operating system, and the processor can be used to run the operating system stored in the memory.

In the embodiment of the present application, the memory may also be referred to as a memory, and is used to store data calculated by an operating system and a processor, and the memory may also be used to run application programs installed on electronic devices. As an example, the memory may be the internal memory 121 in FIG. 2 .

In the embodiment of the present application, a distributed system may be deployed on the electronic device shown in FIG. 1 . The electronic devices deployed with the distributed system can execute the voiceprint registration method provided by the embodiment of the present application, so that one electronic device can collect the parameters of the voice signal according to another electronic device, adjust the voice signal, and generate a voice signal according to the adjusted voice signal. According to the generated voiceprint model, voiceprint authentication is performed on the voice signal collected by another electronic device, which can improve the accuracy of voiceprint authentication, or send the generated voiceprint model to another electronic device, so that another electronic device An electronic device can perform voiceprint authentication corresponding to the voice signal it collects according to the generated voiceprint model.

The voiceprint registration system shown in FIG. 1 is for example only, and is not intended to limit the technical solutions of the embodiments of the present application. Those skilled in the art should understand that in the actual implementation process, the voiceprint registration system may also include other devices, and the number of electronic devices may also be determined according to specific needs, without limitation.

In the embodiment of the present application, the electronic device is taken as an example of a mobile phone. Please refer to FIG. 2 , which is a schematic structural diagram of a mobile phone provided by an embodiment of the present application. The methods in the following embodiments can be implemented in a mobile phone with the following hardware structure.

As shown in Figure 2, the mobile phone can include a processor 110, an external memory interface 120, an internal memory 121, a universal serial bus (universal serial bus, USB) interface 130, an antenna 1, an antenna 2, a mobile communication module 150, and a wireless communication module 160, audio module 170, speaker 170A, receiver 170B, microphone 170C, earphone interface 170D, sensor module 180, etc.

It can be understood that the structure shown in the embodiment of the present application does not constitute a specific limitation on the mobile phone. In other embodiments of the present application, the mobile phone may include more or fewer components than shown in the figure, or combine certain components, or separate certain components, or arrange different components. The illustrated components can be realized in hardware, software or a combination of software and hardware.

The processor 110 may include one or more processing units, for example: the processor 110 may include an application processor (application processor, AP), a modem processor, a graphics processing unit (graphics processing unit, GPU), an image signal processor (image signal processor, ISP), controller, memory, video codec, digital signal processor (digital signal processor, DSP), baseband processor, and/or neural network processor (neural-network processing unit, NPU) wait. Wherein, different processing units may be independent devices, or may be integrated in one or more processors.

A memory may also be provided in the processor 110 for storing instructions and data. In some embodiments, the memory in processor 110 is a cache memory. This memory may hold instructions or data that processor 110 has just used or recycled. If the processor 110 needs to use the instruction or data again, it can be called directly from the memory. Repeated access is avoided, and the waiting time of the processor 110 is reduced, thereby improving the efficiency of the system.

The wireless communication function of the mobile phone can be realized by the antenna 1, the antenna 2, the mobile communication module 150, the wireless communication module 160, the modem processor and the baseband processor.

Antenna 1 and Antenna 2 are used to transmit and receive electromagnetic wave signals. Each antenna in a mobile phone can be used to cover single or multiple communication bands. Different antennas can also be multiplexed to improve the utilization of the antennas. For example: Antenna 1 can be multiplexed as a diversity antenna of a wireless local area network. In other embodiments, the antenna may be used in conjunction with a tuning switch.

The mobile communication module 150 can provide wireless communication solutions including 2G/3G/4G/5G applied to mobile phones. The mobile communication module 150 may include at least one filter, switch, power amplifier, low noise amplifier (low noise amplifier, LNA) and the like. The mobile communication module 150 can receive electromagnetic waves through the antenna 1, filter and amplify the received electromagnetic waves, and send them to the modem processor for demodulation. The mobile communication module 150 can also amplify the signals modulated by the modem processor, and convert them into electromagnetic waves through the antenna 1 for radiation. In some embodiments, at least part of the functional modules of the mobile communication module 150 may be set in the processor 110 . In some embodiments, at least part of the functional modules of the mobile communication module 150 and at least part of the modules of the processor 110 may be set in the same device.

The wireless communication module 160 can provide applications on mobile phones including wireless local area networks (wireless local area networks, WLAN) (such as wireless fidelity (wireless fidelity, Wi-Fi) network), bluetooth (bluetooth, BT), global navigation satellite system ( Global navigation satellite system (GNSS), frequency modulation (frequency modulation, FM), near field communication (near field communication, NFC), infrared technology (infrared, IR) and other wireless communication solutions. The wireless communication module 160 may be one or more devices integrating at least one communication processing module. The wireless communication module 160 receives electromagnetic waves via the antenna 2 , frequency-modulates and filters the electromagnetic wave signals, and sends the processed signals to the processor 110 . The wireless communication module 160 can also receive the signal to be sent from the processor 110 , frequency-modulate it, amplify it, and convert it into electromagnetic waves through the antenna 2 for radiation.

In some embodiments, the antenna 1 of the mobile phone is coupled to the mobile communication module 150, and the antenna 2 is coupled to the wireless communication module 160, so that the mobile phone can communicate with the network and other devices through wireless communication technology. The wireless communication technology may include global system for mobile communications (GSM), general packet radio service (general packet radio service, GPRS), code division multiple access (code division multiple access, CDMA), broadband Code division multiple access (wideband code division multiple access, WCDMA), time division code division multiple access (time-division code division multiple access, TD-SCDMA), long term evolution (long term evolution, LTE), BT, GNSS, WLAN, NFC , FM, and/or IR techniques, etc. The GNSS may include a global positioning system (global positioning system, GPS), a global navigation satellite system (global navigation satellite system, GLONASS), a Beidou navigation satellite system (beidou navigation satellite system, BDS), a quasi-zenith satellite system (quasi -zenith satellite system (QZSS) and/or satellite based augmentation systems (SBAS).

The mobile phone realizes the display function through the GPU, the display screen 194, and the application processor. The GPU is a microprocessor for image processing, and is connected to the display screen 194 and the application processor. GPUs are used to perform mathematical and geometric calculations for graphics rendering. Processor 110 may include one or more GPUs that execute program instructions to generate or change display information.

The display screen 194 is used to display images, videos and the like. The display screen 194 includes a display panel. The display panel can be a liquid crystal display (LCD), an organic light-emitting diode (OLED), an active matrix organic light emitting diode or an active matrix organic light emitting diode (active-matrix organic light emitting diode, AMOLED), flexible light-emitting diode (flex light-emitting diode, FLED), Miniled, MicroLed, Micro-oLed, quantum dot light emitting diodes (quantum dot light emitting diodes, QLED), etc. In some embodiments, the mobile phone may include 1 or N display screens 194, where N is a positive integer greater than 1.

The mobile phone can realize shooting function through ISP, camera 193 , video codec, GPU, display screen 194 and application processor.

The ISP is used for processing the data fed back by the camera 193 . For example, when taking a picture, open the shutter, the light is transmitted to the photosensitive element of the camera through the lens, and the light signal is converted into an electrical signal, and the photosensitive element of the camera transmits the electrical signal to the ISP for processing, and converts it into an image visible to the naked eye. ISP can also perform algorithm optimization on image noise, brightness, and skin color. ISP can also optimize the exposure, color temperature and other parameters of the shooting scene. In some embodiments, the ISP may be located in the camera 193 .

Camera 193 is used to capture still images or video. The object generates an optical image through the lens and projects it to the photosensitive element. The photosensitive element may be a charge coupled device (CCD) or a complementary metal-oxide-semiconductor (CMOS) phototransistor. The photosensitive element converts the light signal into an electrical signal, and then transmits the electrical signal to the ISP to convert it into a digital image signal. The ISP outputs the digital image signal to the DSP for processing. DSP converts digital image signals into standard RGB, YUV and other image signals. In some embodiments, the mobile phone may include 1 or N cameras 193, where N is a positive integer greater than 1.

Digital signal processors are used to process digital signals. In addition to digital image signals, they can also process other digital signals. For example, when the mobile phone selects the frequency point, the digital signal processor is used to perform Fourier transform on the frequency point energy.

Video codecs are used to compress or decompress digital video. A mobile phone can support one or more video codecs. In this way, the mobile phone can play or record videos in multiple encoding formats, such as: moving picture experts group (moving picture experts group, MPEG) 1, MPEG2, MPEG3, MPEG4, etc.

The external memory interface 120 can be used to connect an external memory card, such as a Micro SD card, to expand the storage capacity of the mobile phone. The external memory card communicates with the processor 110 through the external memory interface 120 to implement a data storage function. Such as saving music, video and other files in the external memory card.

The internal memory 121 may be used to store computer-executable program codes including instructions. The processor 110 executes various functional applications and data processing of the mobile phone by executing instructions stored in the internal memory 121 . The internal memory 121 may include an area for storing programs and an area for storing data. Wherein, the stored program area can store an operating system, at least one application program required by a function (such as a sound playing function, an image playing function, etc.) and the like. The storage data area can store data (such as audio data, phone book, etc.) created during the use of the mobile phone. In addition, the internal memory 121 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device, universal flash storage (universal flash storage, UFS) and the like.

The mobile phone can realize the audio function through the audio module 170, the speaker 170A, the receiver 170B, the microphone 170C, the earphone interface 170D, and the application processor. Such as music playback, recording, etc.

The audio module 170 is used to convert digital audio information into analog audio signal output, and is also used to convert analog audio input into digital audio signal. The audio module 170 may also be used to encode and decode audio signals. In some embodiments, the audio module 170 may be set in the processor 110 , or some functional modules of the audio module 170 may be set in the processor 110 .

Speaker 170A, also referred to as a "horn", is used to convert audio electrical signals into sound signals. The cell phone can listen to music through speaker 170A, or listen to hands-free calls.

Receiver 170B, also called "earpiece", is used to convert audio electrical signals into sound signals. When the mobile phone receives a call or a voice message, the receiver 170B can be placed close to the human ear to listen to the voice.

The microphone 170C, also called "microphone" or "microphone", is used to convert sound signals into electrical signals. When making a phone call or sending a voice message, the user can put his mouth close to the microphone 170C to make a sound, and input the sound signal to the microphone 170C. The mobile phone may be provided with at least one microphone 170C. In some other embodiments, the mobile phone can be provided with two microphones 170C, which can also implement a noise reduction function in addition to collecting sound signals. In some other embodiments, the mobile phone can also be equipped with three, four or more microphones 170C to realize the collection of sound signals, noise reduction, identification of sound sources, and realization of directional recording functions, etc.

The earphone interface 170D is used for connecting wired earphones. The earphone interface 170D can be a USB interface 130, or a 3.5mm open mobile terminal platform (OMTP) standard interface, or a cellular telecommunications industry association of the USA (CTIA) standard interface.

The sensor module 180 may include one or more of the following sensors: pressure sensor, gyroscope sensor, air pressure sensor, magnetic sensor, acceleration sensor, distance sensor, proximity light sensor, fingerprint sensor, temperature sensor, touch sensor, ambient light sensor, bone conduction sensor, etc.

Of course, the mobile phone may also include a charging management module, a power management module, a battery, buttons, an indicator, and one or more SIM card interfaces, etc., which are not limited in this embodiment of the present application.

The voiceprint registration method provided by the embodiment of the present application will be described below with reference to the accompanying drawings.

It can be understood that, in the embodiment of the present application, the first electronic device may perform some or all of the steps in the embodiment of the present application, and these steps are only examples, and the embodiment of the present application may also perform other steps or variations of various steps. In addition, each step may be performed in a different order presented in the embodiment of the present application, and it may not be necessary to perform all the steps in the embodiment of the present application.

As shown in FIG. 3 , it is a voiceprint registration method provided in the embodiment of the present application, and the voiceprint registration method includes S301-S304a or S301-S304b.

S301: The first electronic device acquires a first voice signal and first parameter information.

Wherein, the first electronic device may be any electronic device in FIG. 1 . For example, the first electronic device is the electronic device 101 or the electronic device 102 in FIG. 1 .

In this embodiment of the present application, the first voice signal may or may not be collected by the first electronic device.

Exemplarily, if the first voice signal is collected by the first electronic device, the first electronic device collects the first voice signal through a voice collection module of the first electronic device. Wherein, the voice collection module may be a chip, a circuit or a chip system in the first electronic device, which is used to collect voice signals, such as recording and storing the words spoken by the user to obtain voice signals. If the first voice signal is not collected by the first electronic device, the first electronic device receives the first voice signal from the third electronic device. Wherein, the third electronic device may be an electronic device other than the first electronic device. Taking the voiceprint registration system shown in FIG. 1 as an example, if the first electronic device is the electronic device 101 in FIG. 1 , then the third electronic device is at least one of the electronic devices 102-104 in FIG. 1 .

As an example, the third electronic device collects the first voice signal through the voice collection module of the third electronic device, and sends the first voice signal to the first electronic device. The voice collection module of the third electronic device may be a chip, a circuit or a chip system in the third electronic device, and is used for collecting voice signals.

In this embodiment of the present application, the first parameter information may be used to instruct the second electronic device to collect parameters of the voice signal. The second electronic device and the third electronic device may be the same or different.

In a possible implementation manner, the first parameter information includes at least one of the following: the microphone type of the second electronic device, the sampling rate of the second electronic device, the encoding mode of the second electronic device, or the environment information of the second electronic device .

Exemplarily, the microphone type of the second electronic device includes a dynamic microphone or a condenser microphone. The sampling rate of the second electronic device can be understood as the sampling rate of the voice signal by the second electronic device, such as 8000 Hz or 16000 Hz. The encoding method of the second electronic device may be understood as the encoding method of the second electronic device for the voice signal, such as linear pulse coding, nonlinear pulse coding, or adaptive linear coding. The environment where the second electronic device is located may be an environment where the second electronic device is often located, or an environment where the second electronic device has been located within a period of time (eg, within one month). For example, the environment where the second electronic device is located may be one or more of a living room, a bedroom, a study room, a kitchen, a residential area, a street, a shopping mall, or a car.

As an example, the environment information of the second electronic device may include n bits, where the n bits are used to indicate the environment of the second electronic device, and n is a positive integer. Taking n as 2 as an example, if the value of the environment information is "00", the first parameter information indicates that the environment where the second electronic device is located is the living room; if the value of the environment information is "01", the first parameter information The information indicates that the environment where the second electronic device is located is a bedroom. If the value of the environment information is "10", the first parameter information indicates that the environment where the second electronic device is located is a residential area. If the value of the environment information is "11" ”, the first parameter information indicates that the environment where the second electronic device is located is in a car.

It can be understood that the content included in the above first parameter information is only exemplary. In a specific application, the first parameter information may also include other parameters, which are not specifically limited in this embodiment of the present application.

It can be understood that the first electronic device may acquire the first voice signal and the first parameter information at the same time, or may acquire the first voice signal and the first parameter information separately.

As an example, if the first voice signal is collected by the second electronic device, the second electronic device may send the first parameter information to the first electronic device while sending the first voice signal to the first electronic device, or That is to say, the first electronic device can acquire the first voice signal and the first parameter information at the same time.

As another example, after the first electronic device acquires the first voice signal, it may acquire the first parameter information. For example, after acquiring the first voice signal, the first electronic device sends instruction information for acquiring the first parameter to the second electronic device, and the second electronic device sends the first parameter information to the first electronic device after receiving the instruction information. For another example, after the first electronic device establishes a connection with the second electronic device, the second electronic device sends the first parameter information to the first electronic device, and after receiving the first parameter information, the first electronic device stores the first parameter information in the local. Subsequently, after acquiring the first voice signal, the first electronic device acquires the first parameter information locally.

S302: The first electronic device adjusts the first voice signal according to the first parameter information to obtain a second voice signal.

Optionally, the first electronic device acquires parameters of the voice signal collected by the electronic device that collects the first voice signal. In this way, the first electronic device can acquire the parameters of the first voice signal, that is, the type of microphone used to collect the first voice signal, the sampling rate of the first voice signal collected, the encoding method of the first voice signal, or the electronic device used to collect the first voice signal One or more of the environment information. Wherein, for the introduction of the microphone type for collecting the first voice signal, the sampling rate for collecting the first voice signal, the encoding method of the first voice signal, and the environment information of the electronic device for collecting the first voice signal, you can refer to the above-mentioned introduction to the second The description of the microphone type of the electronic device, the sampling rate of the second electronic device, the coding mode of the second electronic device, and the environment information of the second electronic device will not be repeated here.

In a possible implementation manner, the first electronic device uses the first algorithm to make the parameters of the first voice signal approach the parameters indicated by the first parameter information to obtain the second voice signal.

Exemplarily, taking the first parameter information including the microphone type of the second electronic device as an example, the first electronic device may use the first algorithm to simulate the impact of the microphone corresponding to the microphone type on the voice signal, and perform a process on the first voice signal. Adjust to obtain the second voice signal.

Exemplarily, taking the first parameter information including the sampling rate of the second electronic device as an example, the first electronic device may adjust the sampling rate of the first voice signal to the sampling rate of the second electronic device through an audio processing algorithm to obtain the second voice signal.

Exemplarily, taking the first parameter information including the encoding method of the second electronic device as an example, the first electronic device may re-encode and decode the encoding format of the first voice signal according to the encoding method of the second electronic device to obtain the second voice signal.

Exemplarily, taking the first parameter information including the environment information of the second electronic device as an example, the first electronic device may superimpose the environmental noise signal and/or the spatial reverberation signal according to the environment information of the second electronic device, Obtain the second voice signal. Wherein, the environmental noise signal and the spatial reverberation signal may be preconfigured in the first electronic device.

Exemplarily, taking the first parameter information including the microphone type of the second electronic device and the sampling rate of the second electronic device as an example, the first electronic device may use an algorithm to simulate the impact of the microphone corresponding to the microphone type on the voice signal to The first voice signal is adjusted, and the sampling rate of the first voice signal is adjusted to the sampling rate of the second electronic device through an audio processing algorithm to obtain a second voice signal.

Exemplarily, taking the first parameter information including the microphone type of the second electronic device, the sampling rate of the second electronic device, and the environment information of the second electronic device as an example, the first electronic device can use an algorithm to simulate the corresponding The impact of the microphone on the voice signal is used to adjust the first voice signal, and the sampling rate of the first voice signal is adjusted to the sampling rate of the second electronic device through an audio processing algorithm, and then according to the location of the second electronic device The environment information is obtained by superimposing the environment noise signal and/or the space reverberation signal to obtain the second voice signal. Wherein, the environmental noise signal and the spatial reverberation signal may be preconfigured in the first electronic device.

It can be understood that, in a specific application, the electronic device that adjusts the first voice signal may also be an electronic device other than the first electronic device. For example, after acquiring the first voice signal and the first parameter information, the first electronic device may send the first voice signal and the first parameter information to the fifth electronic device. After receiving the first voice signal and the first parameter information, the fifth electronic device may adjust the first voice signal according to the first parameter information to obtain a second voice signal, and send the second voice signal to the first electronic device. Wherein, the fifth electronic device is different from the first electronic device.

S303: The first electronic device generates a first voiceprint model according to the second voice signal.

In a possible implementation manner, the first electronic device extracts features from the second voice signal, and generates the first voiceprint model according to the extracted features. It can be understood that the voiceprint registration is completed after the first voiceprint model is generated. Subsequently, the user may be authenticated through the first voiceprint model. For example, a voice signal may be input into the first voiceprint model, and the first voiceprint model may output whether the voice signal and the first voice signal are from the same user.

It can be understood that the electronic device that generates the first voiceprint model may also be an electronic device other than the first electronic device. For example, after obtaining the second voice signal, the first electronic device may send the second voice signal to the sixth electronic device. After receiving the second voice signal, the sixth electronic device may generate the first voiceprint model according to the second voice signal, and send the first voiceprint model to the first electronic device. The sixth electronic device and the fifth electronic device may be the same or different. Optionally, if the sixth electronic device is different from the fifth electronic device, the fifth electronic device may not send the second voice signal to the first electronic device, but may send the second voice signal to the sixth electronic device, so that the sixth electronic device may The electronic device generates a first voiceprint model according to the second voice signal, and sends the first voiceprint model to the first electronic device.

S304a: The first electronic device authenticates the voice signal collected by the second electronic device according to the first voiceprint model.

In a possible implementation manner, the first electronic device may receive the voice signal collected by the second electronic device from the second electronic device, and input the voice signal collected by the second electronic device into the first voiceprint model for voiceprint authentication.

As an example, the second electronic device collects the voice signal 1 through the voice sampling module of the second electronic device, and sends the voice signal 1 to the first electronic device. After receiving the voice signal 1, the first electronic device inputs the voice signal 1 into the first voiceprint model for voiceprint authentication. If the output of the first voiceprint model is 0, it means that the voice signal 1 and the first voice signal are not from the same user, and the authentication fails. If the output of the first voiceprint model is 1, it means that the voice signal 1 and the first voice signal are not from the same user. The signal is from the same user and the authentication is successful. Since the above-mentioned first voiceprint model is generated according to the second voice signal (that is, the voice signal collected by the second electronic device simulated by the first electronic device based on the first voice signal and the first parameter information), the first voiceprint model is used to The model authenticates the voice signal collected by the second electronic device, which can improve the accuracy of voiceprint authentication.

In the embodiment of the present application, the above S304a may also be replaced with S304b.

S304b: The first electronic device sends the first voiceprint model to the second electronic device. Correspondingly, the second electronic device receives the first voiceprint model from the first electronic device.

It can be understood that the first electronic device may directly send the first voiceprint model to the second electronic device, or may send the first voiceprint model to the second electronic device via one or more electronic devices. After receiving the first voiceprint model, the second electronic device may authenticate the voice signal collected by the second electronic device according to the first voiceprint model. For example, the second electronic device inputs the voice signal collected by itself into the first voiceprint model for voiceprint authentication.

It can be understood that the first electronic device can also send the first voiceprint model to electronic devices other than the second electronic device, so that electronic devices other than the second electronic device can also send the second voiceprint model to the second electronic device according to the first voiceprint model. Voice signals collected by electronic equipment are used for authentication.

Based on the method shown in FIG. 3, the first electronic device can acquire the first voice signal and the first parameter information corresponding to the second electronic device, adjust the first voice signal according to the first parameter information, and obtain the first voice signal suitable for the second electronic device. Two voice signals (the second voice signal can be equivalent to the voice signal collected by the second electronic device, that is to say, the first electronic device can simulate the voice signal collected by the second electronic device according to the first voice signal and the first parameter information) , and generate the first voiceprint model according to the second voice signal. In this way, it is possible to collect a voice signal once, simulate the voice signal collected by the second electronic device according to the voice signal, and perform voiceprint registration according to the simulated voice signal (that is, the second voice signal). Wherein, the first electronic device is the second voice signal simulated according to the parameters of the voice signal collected by the second electronic device. Therefore, the similarity between the second voice signal and the voice signal actually collected by the second electronic device is very high, so according to the first The first voiceprint model generated from the second voice signal performs voiceprint authentication on the voice signal collected by the second electronic device, which can improve the accuracy of voiceprint authentication.

It can be understood that in the method shown in FIG. 3 above, the first electronic device simulates the voice signal collected by the second electronic device, and registers the voiceprint according to the voice signal. In a specific application, in addition to the second electronic device, the first electronic device may also simulate a voice signal collected by at least one other electronic device according to the first voice signal, and perform voiceprint registration according to the simulated voice signal. For example, the first electronic device may also simulate the voice signal collected by the first electronic device according to the first voice signal, and perform voiceprint registration according to the simulated voice signal collected by the first electronic device. Specifically, reference may be made to the description in the method shown in FIG. 4 below. For another example, the first electronic device may also simulate the voice signal collected by the fourth electronic device according to the first voice signal, and perform voiceprint registration according to the simulated voice signal collected by the fourth electronic device. Specifically, reference may be made to the description in the method shown in FIG. 5 below.

Optionally, as shown in FIG. 4, the method shown in FIG. 3 further includes S305-S308.

S305: The first electronic device acquires second parameter information.

Wherein, the second parameter information may be used to instruct the first electronic device to collect parameters of the voice signal. For example, the second parameter information includes at least one of the following: a microphone type of the first electronic device, a sampling rate of the first electronic device, a coding mode of the first electronic device, or environment information of the first electronic device. For a specific introduction of the second parameter information, reference may be made to the foregoing description of the first parameter information, and details are not repeated here.

In a possible implementation manner, the first electronic device acquires the second parameter information locally.

S306: The first electronic device adjusts the first voice signal according to the second parameter information to obtain a third voice signal.

S307: The first electronic device generates a second voiceprint model according to the third voice signal.

For the specific process of S306-S307, reference may be made to the corresponding description in S302-S303 above, and details are not repeated here.

S308: The first electronic device authenticates the voice signal collected by the first electronic device according to the second voiceprint model.

In a possible implementation manner, the first electronic device collects voice signals through the voice collection module of the first electronic device, and inputs the collected voice signals into the second voiceprint model for voiceprint authentication. Specifically, reference may be made to the corresponding description in S304a above, and details are not repeated here.

It can be understood that after the first electronic device acquires the first voice signal, it may first generate the first voiceprint model, such as: acquire the first parameter information, adjust the first voice signal according to the first parameter information, and obtain the second voice signal, Generate the first voiceprint model according to the second voice signal, and then generate the second voiceprint model, such as: obtain the second parameter information, adjust the first voice signal according to the second parameter information, and obtain the third voice signal, according to the third voice signal Generate a second voiceprint model. The first electronic device may also first generate the second voiceprint model, and then generate the first voiceprint model, and may also execute the above two processes at the same time, without limitation.

It can be understood that the first electronic device can also send the first voiceprint model to electronic devices other than the first electronic device, so that electronic devices other than the first electronic device can also use the second voiceprint model for the first voiceprint model. Voice signals collected by electronic equipment are used for authentication.

Optionally, as shown in FIG. 5, the method shown in FIG. 3 further includes S309-S312a or S309-S312b.

S309: The first electronic device acquires third parameter information.

Wherein, the third parameter information is used to instruct the fourth electronic device to collect parameters of the voice signal. For example, the third parameter information includes at least one of the following: a microphone type of the fourth electronic device, a sampling rate of the fourth electronic device, a coding method of the fourth electronic device, or environment information of the fourth electronic device. For a specific introduction of the third parameter information, reference may be made to the foregoing description of the first parameter information, and details are not repeated here.

Wherein, the fourth electronic device is different from the first electronic device and the second electronic device. For example, if the first electronic device is the electronic device 101 in FIG. 1 and the second electronic device is the electronic device 102 in FIG. 1 , then the fourth electronic device is the electronic device 103 or the electronic device 104 in FIG. 1 .

S310: The first electronic device adjusts the first voice signal according to the third parameter information to obtain a fourth voice signal;

S311: The first electronic device generates a third voiceprint model according to the fourth voice signal.

S312a: The first electronic device authenticates the voice signal collected by the fourth electronic device according to the third voiceprint model.

In this embodiment of the application, S312a may also be replaced with S312b.

S312b: The first electronic device sends the third voiceprint model to the fourth electronic device. Correspondingly, the fourth electronic device receives the third voiceprint model from the first electronic device.

For specific processes of S310-S312b, reference may be made to the corresponding descriptions in S302-S304b above, and details are not repeated here.

It can be understood that the first electronic device can also send the third voiceprint model to electronic devices other than the fourth electronic device, so that the electronic devices other than the fourth electronic device can also send the third voiceprint model to the fourth electronic device according to the third voiceprint model. Voice signals collected by electronic equipment are used for authentication.

It can be understood that after the first electronic device acquires the first voice signal, it can first generate the first voiceprint model, for example, it can first acquire the first parameter information, adjust the first voice signal according to the first parameter information, and obtain the second voice signal, generate the first voiceprint model according to the second voice signal, and then generate the third voiceprint model, such as: obtain the third parameter information, adjust the first voice signal according to the third parameter information, and obtain the fourth voice signal, according to the fourth The speech signal generates a third voiceprint model. The first electronic device may also first generate the third voiceprint model, and then generate the first voiceprint model, and may also execute the above two processes at the same time, without limitation.

It can be understood that the above S309-S312b can also be performed in the method shown in FIG. 4, for example, after the first electronic device acquires the first voice signal, or after S303, or after S308, or with S305- S308 is executed at the same time without limitation.

It can be understood that, in each of the above embodiments, the methods and/or steps implemented by the first electronic device may also be implemented by components (such as chips or circuits) that can be used in the first electronic device.

It can be understood that, in order to realize the above-mentioned functions, the above-mentioned electronic device includes corresponding hardware structures and/or software modules for performing each function. Those skilled in the art should easily realize that the embodiments of the present application can be implemented in the form of hardware or a combination of hardware and computer software in combination with the example units and algorithm steps described in the embodiments disclosed herein. Whether a certain function is executed by hardware or computer software drives hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the embodiments of the present application.

The embodiments of the present application may divide the above-mentioned electronic device into functional modules according to the above-mentioned method examples. For example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The above-mentioned integrated modules can be implemented in the form of hardware or in the form of software function modules. It should be noted that the division of modules in the embodiment of the present application is schematic, and is only a logical function division, and there may be other division methods in actual implementation.

As shown in FIG. 6 , the embodiment of the present application discloses an electronic device 600 , which may be the first electronic device in the foregoing embodiments. The electronic device 600 may specifically include: an input device 601 (such as a mouse, a keyboard or a touch screen, etc.); one or more processors 602; a memory 603; one or more application programs (not shown); Program 604 , the above-mentioned devices may be connected through one or more communication buses 605 . Optionally, the electronic device further includes a voice collection device (such as a recording device) for collecting voice signals. Wherein, the above-mentioned one or more computer programs 604 are stored in the above-mentioned memory 603 and configured to be executed by the one or more processors 602, the one or more computer programs 604 include instructions, and the instructions can be used to execute the above-mentioned Relevant steps in the examples. In an example, the electronic device 600 may be the electronic device 101, the electronic device 102, the electronic device 103, or the electronic device 104 in FIG. 1 .

The embodiment of the present application also provides a chip system, including: at least one processor and an interface, the at least one processor is coupled with the memory through the interface, when the at least one processor executes the computer program or instruction in the memory, the above-mentioned The method in any method embodiment is performed. In a possible implementation manner, the chip system further includes a memory. Optionally, the system-on-a-chip may consist of a chip, or may include a chip and other discrete devices, which is not specifically limited in this embodiment of the present application.

The embodiment of the present application also provides a computer-readable storage medium, where computer program code is stored, and when the processor executes the computer program code, the electronic device executes the method in the foregoing embodiments.

The embodiment of the present application also provides a computer program product, which causes the computer to execute the method in the foregoing embodiments when the computer program product is run on the computer.

Wherein, the electronic device 600, the computer-readable storage medium or the computer program product provided in the embodiment of the present application are all used to execute the corresponding method provided above, therefore, the beneficial effects that it can achieve can refer to the above-mentioned The beneficial effects of the corresponding method will not be repeated here.

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

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

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

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

The above is only a specific implementation of the application, but the protection scope of the application is not limited thereto, and any changes or replacements within the technical scope disclosed in the application should be covered within the protection scope of the application . Therefore, the protection scope of the present application should be determined by the protection scope of the claims.

Claims

A voiceprint registration method, characterized in that it is applied to a first electronic device, the method comprising:

Acquiring a first voice signal and first parameter information, where the first parameter information is used to instruct the second electronic device to collect parameters of the voice signal;

adjusting the first speech signal according to the first parameter information to obtain a second speech signal;

generating a first voiceprint model according to the second voice signal;

Sending the first voiceprint model to the second electronic device, or authenticating the voice signal collected by the second electronic device according to the first voiceprint model.
The method according to claim 1, wherein the first parameter information includes at least one of the following: the microphone type of the second electronic device, the sampling rate of the second electronic device, the The encoding method of the device or the environment information of the second electronic device.
The method according to claim 1 or 2, wherein said adjusting said first voice signal according to said first parameter information to obtain a second voice signal comprises:

The second speech signal is obtained by making the parameters of the first speech signal approach the parameters indicated by the first parameter information through the first algorithm.
The method according to any one of claims 1-3, wherein said acquiring the first voice signal comprises:

receiving said first voice signal from a third electronic device; or,

Collect the first voice signal.
The method according to any one of claims 1-4, wherein the authenticating the voice signal collected by the second electronic device according to the first voiceprint model comprises:

receiving a voice signal collected by the second electronic device from the second electronic device;

Inputting the voice signal collected by the second electronic device into the first voiceprint model for voiceprint authentication.
The method according to any one of claims 1-5, wherein the method further comprises:

Acquiring second parameter information, where the second parameter information is used to instruct the first electronic device to collect parameters of voice signals;

adjusting the first speech signal according to the second parameter information to obtain a third speech signal;

generating a second voiceprint model according to the third voice signal;

The voice signal collected by the first electronic device is authenticated according to the second voiceprint model.
The method according to any one of claims 1-6, wherein the method further comprises:

Acquiring third parameter information, where the third parameter information is used to instruct a fourth electronic device to collect parameters of voice signals, where the fourth electronic device is different from the second electronic device;

adjusting the first speech signal according to the third parameter information to obtain a fourth speech signal;

generating a third voiceprint model according to the fourth voice signal;

Sending the third voiceprint model to the fourth electronic device, or authenticating the voice signal collected by the fourth electronic device according to the third voiceprint model.
An electronic device, characterized in that it includes: a processor, the processor is coupled with a memory, and the memory is used to store a program or an instruction, and when the program or instruction is executed by the processor, the The electronic device executes the method according to any one of claims 1-7.
A computer-readable storage medium, on which computer programs or instructions are stored, wherein when the computer programs or instructions are executed, the computer executes the method according to any one of claims 1 to 7.