CN117214819A

CN117214819A - Sound signal acquisition system, method, device and computer readable storage medium

Info

Publication number: CN117214819A
Application number: CN202311129884.6A
Authority: CN
Inventors: 张国新; 王丹; 崔洋洋; 杨登舟; 林东跃; 高治良
Original assignee: Shenzhen Micro & Nano Integrated Circuits And Systems Research Institute; Shenzhen Weina Perception Computing Technology Co ltd
Current assignee: Shenzhen Micro & Nano Integrated Circuits And Systems Research Institute; Shenzhen Weina Perception Computing Technology Co ltd
Priority date: 2023-08-31
Filing date: 2023-08-31
Publication date: 2023-12-12

Abstract

The application is applicable to the technical field of sound signal acquisition, and provides a sound signal acquisition system, a sound signal acquisition method, a sound signal acquisition device and a computer readable storage medium, wherein the sound signal acquisition system comprises: the signal acquisition module is used for acquiring sound signals sent by a sound source acquired by the radio equipment, dividing the sound signals into first audio data or second audio data according to the audio frequency, recording the first audio data, or matching the second audio data in the network audio database to obtain a matching result; the signal backup module is used for carrying out backup storage on the matching result or the first audio data; the signal processing module is used for carrying out noise distinguishing processing on the first audio data and carrying out image visualization processing on the processed first audio data to obtain a visualized image; and the result output module is used for displaying the visual image on a display screen of the display terminal. The scheme of the embodiment of the application can improve the efficiency of sound source acquisition and processing.

Description

Sound signal acquisition system, method, device and computer readable storage medium

Technical Field

The present application relates to a sound signal acquisition system, a sound signal acquisition method, a sound signal acquisition device, and a computer readable storage medium.

Background

With the continuous improvement of product quality requirements of people, efficient quality detection devices and methods are attracting more and more attention. Sound source localization recognition technology is increasingly being applied to various detection systems as a green, lossless, efficient method. For example, the sound source localization and recognition technology may implement sound source localization and sound source recognition by acquiring a spatial sound field through a microphone array formed by arranging a plurality of microphones in a certain spatial structure and performing space-time joint processing on the acquired sound signals.

However, the existing sound source localization identification method still has some defects.

Disclosure of Invention

The embodiment of the application provides a sound signal acquisition system, a sound signal acquisition method, a sound signal acquisition device and a computer readable storage medium, aiming at solving the problem of low sound source acquisition processing efficiency in the prior art.

In a first aspect, an embodiment of the present application provides a sound signal acquisition system, including: the signal acquisition module is used for acquiring sound signals sent by a sound source acquired by the radio equipment, dividing the sound signals into first audio data or second audio data according to the audio level, recording the first audio data, or matching the second audio data in a network audio database to obtain a matching result; the signal backup module is used for carrying out backup storage on the matching result or the first audio data; the signal processing module is used for carrying out noise distinguishing processing on the first audio data and carrying out image visualization processing on the processed first audio data to obtain a visualized image; and the result output module is used for displaying the visual image on a display screen of the display terminal.

In the embodiment of the application, the collected sound information is classified according to the audio frequency, and the second audio frequency data is matched in the network audio frequency database, so that the rapid sound source positioning and the sound source identification are facilitated, and the efficiency of the sound source collecting and processing can be improved.

In some implementations, the sound receiving apparatus includes a planar circular microelectromechanical system MEMS microphone array comprised of a plurality of microphones.

In the embodiment of the application, the sound receiving equipment comprises the planar circular MEMS microphone array formed by a plurality of microphones, and the MEMS microphone array can be used for realizing the multi-element collection of sound signals, so that the positioning accuracy of a sound source can be improved.

In some implementations, the signal acquisition module includes an audio distinguishing unit, an audio recording unit, and a band matching unit, wherein: the audio distinguishing unit is used for distinguishing the sound signal into the first audio data with the frequency larger than a first value or the second audio data with the frequency smaller than the first value according to the audio frequency; the audio recording unit is used for recording the frequency data and the wave band data of the first audio data; the band matching unit is used for matching the band data of the second audio data with the audio data in the network audio database to obtain a matching result.

In some implementations, the signal acquisition module further includes a data integration unit, where the data integration unit is configured to integrate the first audio data according to an acquisition time.

In some implementations, the signal backup module includes an audio data backup unit and a matching information backup unit, where: the audio data backup unit is used for carrying out backup processing on the integrated first audio data; and the matching information backup unit is used for carrying out backup processing on the band data corresponding to the matching information.

In some implementations, the signal processing module includes a continuous wavelet transform CWT calculation unit, a fourier transform unit, and an image visualization unit, wherein: the CWT computing unit is used for decomposing the first audio data into a plurality of wave band data through CWT computing; the Fourier transform unit is used for carrying out Fourier transform on the plurality of wave band data to obtain a plurality of audio frequency components; the image visualization unit is used for displaying the two-dimensional wave band images of the plurality of audio frequency components and visualizing the plurality of wave band data in a two-dimensional plane in the form of a proportion line graph according to the relation of time and frequency.

In the embodiment of the application, the CWT calculation is performed on the first audio data to obtain a plurality of wave band data, and the Fourier transform is performed on the obtained plurality of wave band data, so that the sound field distribution condition of the sound collection site can be obtained quickly, the sound source location and the sound source identification can be realized quickly, and the efficiency of the sound source collection processing can be improved.

In some implementations, the result output module is further configured to output the matching result.

In a second aspect, an embodiment of the present application provides a sound signal acquisition method, including: collecting sound signals sent by a sound source; the sound signal is obtained, the sound signal is divided into first audio data or second audio data according to the audio frequency, the first audio data is recorded, or the second audio data is matched in a network audio database, and a matching result is obtained; backup storage is carried out on the matching result or the first audio data; noise distinguishing processing is carried out on the first audio data, and image visualization processing is carried out on the processed first audio data to obtain a visualized image; and displaying the visual image on a display screen of a display terminal.

In a third aspect, an embodiment of the present application provides a sound signal collecting apparatus, including: a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method of the second aspect described above when the computer program is executed.

In a fourth aspect, embodiments of the present application provide a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the method of the second aspect described above.

In a fifth aspect, embodiments of the present application provide a computer program product for causing an associated device to perform the method of the second aspect described above when the computer program product is run on the associated device.

It will be appreciated that the advantages of the second to fifth aspects may be found in the relevant description of the first aspect, and are not described here again.

Compared with the prior art, the embodiment of the application has the beneficial effects that:

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments or the description of the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a schematic structural diagram of a sound signal acquisition system according to an embodiment of the present application.

Fig. 2 is a schematic structural diagram of a signal acquisition module according to an embodiment of the application.

Fig. 3 is a schematic structural diagram of a signal backup module according to an embodiment of the application.

Fig. 4 is a schematic structural diagram of a signal processing module according to an embodiment of the application.

Fig. 5 is a schematic flow chart of a sound signal acquisition method according to an embodiment of the present application.

Fig. 6 is a schematic structural diagram of an acoustic signal acquisition apparatus according to an embodiment of the present application.

Detailed Description

In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

It should be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.

It should also be understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.

Furthermore, the terms "first," "second," "third," and the like in the description of the present specification and in the appended claims, are used for distinguishing between descriptions and not necessarily for indicating or implying a relative importance.

Reference in the specification to "one embodiment" or "some embodiments" or the like means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," and the like in the specification are not necessarily all referring to the same embodiment, but mean "one or more but not all embodiments" unless expressly specified otherwise. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.

However, the existing sound source localization identification method still has some defects. For example, the existing sound source positioning and identifying method is low in efficiency and positioning accuracy of a sound source.

In order to solve one or more of the above technical problems, the present application provides a sound signal acquisition system, a method, an apparatus and a computer readable storage medium, wherein the acquired sound information is classified according to the audio frequency, and the second audio data is matched in a network audio database, which is helpful for rapid sound source localization and sound source identification, so that the efficiency of sound source acquisition processing can be improved.

The following describes the sound signal acquisition system in the embodiment of the present application in detail with reference to fig. 1.

Fig. 1 is a schematic structural diagram of a sound signal acquisition system according to an embodiment of the present application. As shown in fig. 1, the sound signal collection system 100 may include a signal collection module 110, a signal backup module 120, a signal processing module 130, and a result output module 140. Alternatively, the signal acquisition module 110, the signal backup module 120, the signal processing module 130, and the result output module 140 may be implemented by a data processing host.

The signal acquisition module 110 may be configured to acquire a sound signal sent by a sound source acquired by the radio receiving device 200, divide the sound signal into first audio data or second audio data according to an audio level, record the first audio data, or match the second audio data in a network audio database, so as to obtain a matching result.

Alternatively, the sound signal may be the first audio data or the second audio data. Alternatively, the sound signal may include the first audio data and the second audio data. At this time, the signal acquisition module 110 may distinguish the first audio data and the second audio data in the sound signal.

In some implementations, the frequency of the first audio data may be greater than the frequency of the second audio data. For example, the frequency of the first audio data may be greater than 20kHz. For example, the frequency of the second audio data may be less than 20kHz.

Typically, the audible frequency of the human ear ranges from 20Hz to 20kHz, with sound waves above 20kHz being collectively referred to as "ultrasonic waves". Accordingly, the audio data having a frequency greater than 20kHz may also be ultrasonic signal data (or ultrasonic signal data).

Ultrasonic waves belong to audio signals, can be acquired by audio information acquisition by special radio equipment, and sound source positioning identification based on the ultrasonic signals can also be called ultrasonic detection. According to the theory of guided wave, when the sound wave wavelength of the audio signal is larger than the characteristic dimension of the structure of the tested material, guided wave is generated and transmitted, and the structure is commonly called an acoustic thin-wall structure, which is more suitable for guided wave detection, and various most common plate, shell, rod, pressure vessel and other structural forms can be attached to the thin-wall structure in engineering material application, so that ultrasonic detection is very suitable for detecting the structures.

Ultrasonic detection is generally referred to as a "pulse reflection method", i.e. a probe emits ultrasonic waves with specific parameters, after a defect is encountered in an object, the ultrasonic waves are reflected back and received by the probe and transmitted to a processor for processing and displaying, and thus, the position and the size of the defect are evaluated.

In some implementations, the sound pickup apparatus 200 may include a plurality of microphones that may be used to collect sound signals emitted by sound sources in parallel, which may increase the efficiency of sound signal collection. Wherein the plurality of microphones may form a planar circular microelectromechanical system (micro electro mechanical systems, MEMS) microphone array.

The microphone array can be formed by arranging a plurality of microphones in a certain space structure, and space-time combined processing of acoustic signals is realized by sampling a space sound field. The microphone array can be used for: dereverberation and echo suppression, noise suppression, sound source localization, sound source number estimation and the identification and processing of human voice signals. At present, the microphone array is widely applied to the fields of industry, military, consumer electronics and the like, and a miniaturized, flexible and intelligent high-efficiency sound source positioning and identifying system is developed and is an important trend of the microphone array technology development.

In some implementations, as shown in fig. 2, the signal acquisition module 110 may include an audio differentiating unit 111, an audio recording unit 112, and a band matching unit 113.

For example, the audio differentiating unit 111 may acquire the sound signal acquired by the sound receiving device 200, and differentiate the sound signal into the first audio data having a frequency greater than a first value or the second audio data having a frequency less than the first value according to the audio level.

For example, the audio recording unit 112 may be configured to record frequency data and band data of the first audio data.

For example, as shown in fig. 2, the band matching unit 113 may be configured to match band data of the second audio data with audio data in the network audio database 400, to obtain a matching result.

It should be noted that the specific content of the matching result may depend on the network audio database used and the audio samples contained in the network audio database. For example, the network audio database 400 may match the music type, language content, ambient noise, etc. of the band data.

In some implementations, as shown in fig. 2, the signal acquisition module 110 may further include a data integration unit 114.

For example, the data integration unit 114 may be configured to integrate the first audio data according to the acquisition time.

The signal backup module 120 may be configured to backup and store the matching result or the first audio data. The signal backup module 120 may store the matching result or the first audio data in the data processing host in a backup manner.

In some implementations, as shown in fig. 3, the signal backup module 120 may include an audio data backup unit 121 and a matching information backup unit 122.

For example, the audio data backup unit 121 may be configured to perform a backup process on the first audio data after the integration process.

For example, the matching information backup unit 122 may be configured to perform backup processing on band data corresponding to the matching information.

The signal processing module 130 may be configured to perform noise distinguishing processing on the first audio data, and perform image visualization processing on the processed first audio data, so as to obtain a visualized image.

In some implementations, as shown in fig. 4, the signal processing module 130 may include a continuous wavelet transform (continuous wavelet transform, CWT) calculation unit 131, a fourier transform unit 132, and an image visualization unit 133.

For example, the CWT calculating unit 131 may be configured to decompose the first audio data into a plurality of band data by CWT calculation.

For example, the fourier transform unit 132 may be configured to fourier transform the plurality of band data to obtain a plurality of audio frequency components.

For example, the image visualizing unit 133 may be configured to display the plurality of audio frequency components as a two-dimensional band image and to visually display the plurality of band data in a form of a proportional line graph in a two-dimensional plane in accordance with a relationship of time and frequency.

In some implementations, three audio frequency components may be obtained after fourier transforming the plurality of band data. Wherein one audio frequency component may be a direct current component, which may be referred to herein as a component of frequency 0, which may correspond to the average value or direct current component of the sound signal; the other audio frequency component may be a fundamental frequency component, which may refer to the lowest frequency component of the sound signal, which may correspond to the pitch of the sound signal or the period of the period signal, and which may correspond to the fundamental frequency component in the audio signal; yet another audio frequency component may be a harmonic component, which may refer to a component in the sound signal whose frequency is an integer multiple of the fundamental frequency, and which corresponds to a multiple of the fundamental frequency, and which may correspond to a formant or multiple of the frequency in the frequency spectrum of the sound signal.

The result output module 140 may be configured to display the visual image on a display screen of the display terminal 300.

Some equipment often accompanies ultrasonic signal when breaking down or damaging, therefore demonstrate the imaging result through the display screen, through observing the sound field distribution condition simultaneously, just can more directly perceivedly, find the sound source position that produces abnormal sound fast.

Optionally, the result output module 140 may be further configured to output the matching result. For example, as shown in fig. 1, the result output module 140 may also display the matching result on a display screen of the display terminal 300.

The sound signal acquisition system according to the embodiment of the present application is described in detail above with reference to fig. 1 to 4, and the method embodiment of the present application is described in detail below with reference to fig. 5. It is to be understood that the description of the method embodiments corresponds to the description of the system embodiments described above, and that parts not described in detail can therefore be seen in the system embodiments described above.

Fig. 5 shows a schematic flow chart of a sound signal collection method according to an embodiment of the present application, which can be applied to the sound signal collection system 100 shown in fig. 1 by way of example and not limitation. The method 500 in fig. 5 includes steps S510 to S550, specifically as follows:

s510, collecting sound signals emitted by a sound source.

S520, the sound signal is obtained, the sound signal is divided into first audio data or second audio data according to the audio frequency level, the first audio data is recorded, or the second audio data is matched in a network audio database, and a matching result is obtained.

And S530, carrying out backup storage on the matching result or the first audio data.

S540, noise distinguishing processing is carried out on the first audio data, and image visualization processing is carried out on the processed first audio data, so that a visualized image is obtained.

And S550, displaying the visual image on a display screen of the display terminal.

It should be noted that, the method 500 may further include other steps corresponding to other actions performed by the modules and units in the sound signal acquisition system 100 in fig. 1, which are not described herein.

It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present application.

Fig. 6 is a schematic diagram of a sound signal acquisition device according to an embodiment of the present application. As shown in fig. 6, the sound signal collection device 600 of this embodiment includes: a processor 610, a memory 620, and a computer program 630 stored in the memory 620 and executable on the processor 610. The processor 610, when executing the computer program 630, performs the actions of the various system embodiments described above or the steps of the various method embodiments described above. Alternatively, the processor 610, when executing the computer program 630, performs the functions of the modules in the apparatus embodiments described above.

Illustratively, the computer program 630 may be partitioned into one or more modules that are stored in the memory 620 and executed by the processor 610 to perform the present application. The one or more modules may be a series of computer program instruction segments capable of performing particular functions to describe the execution of the computer program 630 in the apparatus 600.

The apparatus 600 may include one or more computing devices such as a desktop computer, a notebook computer, a palm top computer, and a cloud server. The devices may include, but are not limited to, a processor 610, a memory 620. It will be appreciated by those skilled in the art that fig. 6 is merely an example of an apparatus 600 and does not constitute a limitation of the apparatus 600, and may include more or fewer components than shown, or may combine certain components, or different components, e.g., the apparatus may further include input-output devices, network access devices, buses, etc.

The processor 610 may be a central processing unit (central processing unit, CPU), but may also be other general purpose processors, digital signal processors (digital signal processor, DSP), application specific integrated circuits (application specific integrated circuit, ASIC), field programmable gate arrays (field programmable gate array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The storage 620 may be an internal storage unit of the apparatus 600, such as a hard disk or a memory of the apparatus 600. The memory 620 may also be an external storage device of the apparatus 600, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash card (flash card) or the like, which are provided on the apparatus 600. Further, the memory 620 may also include both internal storage units and external storage devices of the apparatus 600. The memory 620 is used to store the computer program and other programs and data needed by the apparatus 600. The memory 620 may also be used to temporarily store data that has been output or is to be output.

It should be noted that, because the content of information interaction and execution process between the above devices/units is based on the same concept as the foregoing embodiments of the present application, specific functions and technical effects thereof may be specifically found in the foregoing embodiments, and details thereof are not repeated herein.

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, the specific names of the functional units and modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing embodiment, which is not described herein again.

Embodiments of the present application also provide a computer readable storage medium storing a computer program which, when executed by a processor, performs actions that may be performed by the various system embodiments described above or steps of the various method embodiments described above.

Embodiments of the present application provide a computer program product which, when run on an evaluation device, causes the evaluation device to perform the actions of the various system embodiments described above or the steps of the various method embodiments described above.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present application may implement all or part of the flow of the method of the above embodiments, and may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, where the computer program, when executed by a processor, may implement the actions of the respective system embodiments or the steps of the respective method embodiments. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include at least: any entity or device capable of carrying computer program code to a photographing device/terminal apparatus, recording medium, computer memory, read-only memory (ROM), random access memory (random access memory, RAM), electrical carrier signals, telecommunications signals, and software distribution media. Such as a U-disk, removable hard disk, magnetic or optical disk, etc. In some jurisdictions, computer readable media may not be electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.

In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus/network device and method may be implemented in other manners. For example, the apparatus/network device embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical functional division, and there may be additional divisions in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

The above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.

Claims

1. A sound signal acquisition system, comprising:

the signal acquisition module is used for acquiring sound signals sent by a sound source acquired by the radio equipment, dividing the sound signals into first audio data or second audio data according to the audio level, recording the first audio data, or matching the second audio data in a network audio database to obtain a matching result;

the signal backup module is used for carrying out backup storage on the matching result or the first audio data;

the signal processing module is used for carrying out noise distinguishing processing on the first audio data and carrying out image visualization processing on the processed first audio data to obtain a visualized image;

and the result output module is used for displaying the visual image on a display screen of the display terminal.

2. The system of claim 1, wherein the sound receiving device comprises a planar circular microelectromechanical system MEMS microphone array of a plurality of microphones.

3. The system of claim 1, wherein the signal acquisition module comprises an audio differentiating unit, an audio recording unit, and a band matching unit, wherein:

the audio distinguishing unit is used for distinguishing the sound signal into the first audio data with the frequency larger than a first value or the second audio data with the frequency smaller than the first value according to the audio frequency;

the audio recording unit is used for recording the frequency data and the wave band data of the first audio data;

the band matching unit is used for matching the band data of the second audio data with the audio data in the network audio database to obtain a matching result.

4. The system of claim 1, wherein the signal acquisition module further comprises a data integration unit for integrating the first audio data according to an acquisition time.

5. The system of claim 1, wherein the signal backup module comprises an audio data backup unit and a matching information backup unit, wherein:

the audio data backup unit is used for carrying out backup processing on the integrated first audio data;

and the matching information backup unit is used for carrying out backup processing on the band data corresponding to the matching information.

6. The system of claim 1, wherein the signal processing module comprises a continuous wavelet transform CWT computation unit, a fourier transform unit, and an image visualization unit, wherein:

the CWT computing unit is used for decomposing the first audio data into a plurality of wave band data through CWT computing;

the Fourier transform unit is used for carrying out Fourier transform on the plurality of wave band data to obtain a plurality of audio frequency components;

the image visualization unit is used for displaying the two-dimensional wave band images of the plurality of audio frequency components and visualizing the plurality of wave band data in a two-dimensional plane in the form of a proportion line graph according to the relation of time and frequency.

7. A system according to claim 1 or 3, wherein the result output module is further configured to output the matching result.

8. A sound signal acquisition method, comprising:

collecting sound signals sent by a sound source;

the sound signal is obtained, the sound signal is divided into first audio data or second audio data according to the audio frequency, the first audio data is recorded, or the second audio data is matched in a network audio database, and a matching result is obtained;

backup storage is carried out on the matching result or the first audio data;

noise distinguishing processing is carried out on the first audio data, and image visualization processing is carried out on the processed first audio data to obtain a visualized image;

and displaying the visual image on a display screen of a display terminal.

9. A sound signal collection device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor performs the steps of the method of claim 8 when the computer program is executed.

10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed by a processor, implements the steps of the method according to claim 8.