CN114271818A - Hearing talent training system, method, storage medium and electronic device - Google Patents
Hearing talent training system, method, storage medium and electronic device Download PDFInfo
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Abstract
The invention discloses a hearing talent training system, a method, a storage medium and electronic equipment. The system for hearing talent training comprises: the device comprises a background noise database, an environment sound equivalent masking noise database, a main control module, a sound mixing module and a test audio output module. The background noise database is used to provide background noise data. The ambient sound equivalent masking noise database is used to provide ambient sound equivalent masking noise data. The main control module is used for receiving background noise data and environment sound equivalent masking noise data. The sound mixing module is used for receiving the background noise data and the environment sound equivalent masking noise data sent by the main control module, and outputting and synthesizing the data into a path of analog audio output. Therefore, the hearing talent training system can objectively evaluate pure tone hearing under different noise working environments and objectively evaluate the hearing distinguishing capability of a specific signal submerged under complex background sound.
Description
Technical Field
The present invention relates to the field of hearing training technologies, and in particular, to a hearing talent training system, method, storage medium, and electronic device.
Background
The conventional hearing test is to transmit a standard pure tone signal, i.e. a single frequency sinusoidal sound, to test the hearing of a person, to test the person's ability to distinguish the amplitude and frequency of the sound signal, and to assist in the diagnosis of the function of the ear or some other neurological diseases. Or to make a decision on the hearing ability of the subject. This test is usually performed under a silent environment, and the evaluation index is only capable of distinguishing the amplitude and frequency of a specific pure tone signal.
However, for some special occasions, the actual working scene of the tested person is greatly different from the standard hearing test, for example, the working scene of a sonar person and the like is different from the standard hearing test in two ways, one is required to be the discrimination ability, the specific target sound is submerged in the complex background noise, and the tested person needs to distinguish and remove the specific target sound submerged in the complex background sound. These background noises are inherent to the particular target tone.
The second difference is that the working environment of the tested person is relatively noisy, although the noise can mask the noise to some extent, but is not equivalent to a mute room of a common hearing test, the environmental noise and the background noise jointly affect the hearing of the tested person, and a standard hearing test cannot comprehensively reflect the hearing test requirement in the specific scene.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
The invention aims to provide a hearing talent training system, a method, a storage medium and electronic equipment, which can objectively evaluate pure tone hearing under different noise working environments and objectively evaluate the hearing distinguishing capability of a specific signal submerged under complex background sound.
In order to achieve the above object, in a first aspect, the present invention provides a system for hearing talent training, which is suitable for use in noise masking environments. The system for hearing talent training comprises: the device comprises a background noise database, an environment sound equivalent masking noise database, a main control module, a sound mixing module and a test audio output module. The background noise database is used to provide background noise data. The ambient sound equivalent masking noise database is used to provide ambient sound equivalent masking noise data. The main control module is used for receiving background noise data and environment sound equivalent masking noise data. The sound mixing module is used for receiving the background noise data and the environment sound equivalent masking noise data sent by the main control module and outputting and synthesizing the background noise data and the environment sound equivalent masking noise data into a path of analog audio output. And the test audio output module is used for receiving one path of analog audio output sent by the sound mixing module, converting the one path of analog audio output into sound output and providing the sound output for the tested personnel for training.
In an embodiment of the present invention, the background noise database is established by a background noise acquisition subsystem, the background noise acquisition subsystem includes an underwater acoustic sensor module and a data acquisition module, the underwater acoustic sensor module is used for acquiring different background noises, and the data acquisition module converts the different background noises into digital signals, and establishes the background noise database by a background noise establishment method.
In an embodiment of the present invention, the ambient sound equivalent masking noise database is built by an ambient sound equivalent masking noise data building subsystem, and the ambient sound equivalent masking noise data building subsystem includes a pressure clamp module, a resonant coupling cavity module, a microphone module, a data acquisition module, and an ambient sound equivalent masking noise data building module. The pressure clamp module is connected with the resonance coupling cavity module and is used for fixing the audiometer earphone on the resonance coupling cavity module. The resonance coupling cavity module is connected with the microphone module and used for converting the environment sound equivalent noise into analog audio data. The data acquisition module is connected with the microphone and used for converting analog audio data into digital signals. The data acquisition module is connected with the environment sound equivalent masking noise data establishment module, and the environment sound equivalent masking noise data establishment module establishes an environment sound equivalent masking noise database according to the digital signals.
In a second aspect, an embodiment of the present invention further provides a method for hearing talent training, which is suitable for use in a noise masking environment. The method for hearing talent training comprises the following steps: background noise data is provided. Ambient sound equivalent masking noise data is provided. And synthesizing the background noise data and the environment sound equivalent masking noise data into a path of analog audio output. And converting one path of analog audio output into sound output to be provided for the tested person to train.
In one embodiment of the present invention, providing background noise data comprises: and acquiring background noise, namely acquiring the background noise by adopting an underwater sound sensor according to different working properties of the detected personnel and aiming at different applications. And background noise classification, which is to classify according to the working property of the tested personnel and the characteristics of the noise. And storing and indexing to form background noise data.
In one embodiment of the present invention, providing the ambient sound equivalent masking noise data includes: and noise collection is carried out under the actual working environment of the tested personnel. And noise classification, namely classifying according to different working environments and different working states. And modeling, namely modeling the acquired noise data by adopting an ARMA method. And storing and establishing an index to form the environmental sound equivalent masking noise data.
In a third aspect, an embodiment of the present invention further provides a storage medium, where the storage medium stores computer-executable instructions, and the computer-executable instructions are configured to perform the method for hearing talent training described above.
In a fourth aspect, an embodiment of the present invention further provides an electronic device, including:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of hearing talent training described above.
Compared with the prior art, the hearing talent training system, the method, the storage medium and the electronic equipment can objectively evaluate pure tone hearing under different noise working environments and objectively evaluate the hearing distinguishing capability of a specific signal submerged under complex background sound.
Drawings
FIG. 1 is a wire frame diagram of a hearing talent training system according to an embodiment of the present invention;
FIG. 2 is a wire-frame schematic diagram of a background noise acquisition subsystem of a hearing talent training system according to an embodiment of the present invention;
FIG. 3 is a block diagram of an ambient sound equivalent masking noise data creation subsystem of a hearing talent training system according to an embodiment of the present invention;
FIG. 4 is a wire-frame diagram of the software of a hearing talent training system according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a hardware wire frame of a hearing talent training system in actual use according to an embodiment of the present invention;
FIG. 6 is a schematic flow diagram of a method of training a hearing talent according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of an electronic device for a hearing talent training method according to an embodiment of the present invention.
Description of the main reference numerals:
the voice recognition test system comprises a 1-background noise database, a 2-environment sound equivalent masking noise database, a 3-main control module, a 4-sound mixing module, a 5-test audio output module, a 6-underwater sound sensor, a 7-data acquisition module, an 8-background noise data establishing module, a 9-resonance coupling cavity, a 10-microphone, an 11-environment sound equivalent masking noise data establishing module, a 12-man-machine interaction module, a 13-main program module, a 14-audio output module and a 15-data establishing module.
Detailed Description
The following detailed description of the present invention is provided in conjunction with the accompanying drawings, but it should be understood that the scope of the present invention is not limited to the specific embodiments.
Throughout the specification and claims, unless explicitly stated otherwise, the word "comprise", or variations such as "comprises" or "comprising", will be understood to imply the inclusion of a stated element or component but not the exclusion of any other element or component.
Fig. 1 is a wire frame diagram of a hearing talent training system according to an embodiment of the present invention. Fig. 2 is a wire-frame diagram of a background noise acquisition subsystem of a hearing talent training system according to an embodiment of the present invention. Fig. 3 is a block diagram of an ambient sound equivalent masking noise data creation subsystem of a hearing talent training system according to an embodiment of the present invention. Fig. 4 is a wire-frame diagram of the software of a hearing talent training system according to an embodiment of the present invention.
As shown in fig. 1 to 4, in a first aspect, a hearing talent training system according to a preferred embodiment of the present invention is adapted to be used in a noise masking environment. The system for hearing talent training comprises: the device comprises a background noise database 1, an environment sound equivalent masking noise database 2, a main control module 3, a sound mixing module 4 and a test audio output module 5. The background noise database 1 is used to provide background noise data. The ambient sound equivalent masking noise database 2 is used to provide ambient sound equivalent masking noise data. The main control module 3 is used for receiving background noise data and ambient sound equivalent masking noise data. The sound mixing module 4 is configured to receive the background noise data and the environmental sound equivalent masking noise data sent by the main control module 3, and output and combine the background noise data and the environmental sound equivalent masking noise data into one path of analog audio output. And the test audio output module 5 is used for receiving one path of analog audio output sent by the sound mixing module 4, converting the one path of analog audio output into sound output and providing the sound output for the tested personnel to train.
In an embodiment of the present invention, the background noise database 1 is built by a background noise collection subsystem, the background noise collection subsystem includes an underwater acoustic sensor 6 module and a data collection module 7, the underwater acoustic sensor 6 module is used for collecting different background noises, and the data collection module 7 converts the different background noises into digital signals, and the background noise database 1 is built by a background noise building method.
In an embodiment of the present invention, the ambient sound equivalent masking noise database 2 is established by an ambient sound equivalent masking noise data establishing subsystem, and the ambient sound equivalent masking noise data establishing subsystem includes a pressure clamp module, a resonant coupling cavity 9 module, a microphone 10 module, a data acquisition module 7, and an ambient sound equivalent masking noise data establishing module 11. The pressure clamp module is connected with the resonance coupling cavity 9 module and is used for fixing the earphone of the audiometer on the resonance coupling cavity 9 module. The resonance coupling cavity 9 module is connected with the microphone 10 module, and the resonance coupling cavity 9 module is used for converting the environment sound equivalent noise into analog audio data. Wherein, the data acquisition module 7 is connected with the microphone 10, and the data acquisition module 7 is used for converting the analog audio data into digital signals. The data acquisition module 7 is connected to the ambient sound equivalent masking noise data establishing module 11, and the ambient sound equivalent masking noise data establishing module 11 establishes the ambient sound equivalent masking noise database 2 according to the digital signal.
Fig. 6 is a flow chart of a method for training hearing talents according to an embodiment of the present invention. In a second aspect, as shown in fig. 6, an embodiment of the present invention further provides a method for hearing talent training, which is suitable for use in a noise masking environment. The method for hearing talent training comprises the following steps: background noise data is provided. Ambient sound equivalent masking noise data is provided. And synthesizing the background noise data and the environment sound equivalent masking noise data into a path of analog audio output. And converting one path of analog audio output into sound output to be provided for the tested person to train.
In one embodiment of the present invention, providing background noise data comprises: and acquiring background noise, namely acquiring the background noise by adopting the underwater acoustic sensor 6 according to different working properties of the detected personnel and aiming at different applications. And background noise classification, which is to classify according to the working property of the tested personnel and the characteristics of the noise. And storing and indexing to form background noise data.
In one embodiment of the present invention, providing the ambient sound equivalent masking noise data includes: and noise collection is carried out under the actual working environment of the tested personnel. And noise classification, namely classifying according to different working environments and different working states. And modeling, namely modeling the acquired noise data by adopting an ARMA method. And storing and establishing an index to form the environmental sound equivalent masking noise data.
In a third aspect, an embodiment of the present invention further provides a storage medium, where the storage medium stores computer-executable instructions for performing the method for hearing talent training described above.
The storage medium may be any available medium or data storage device that can be accessed by a computer, including but not limited to magnetic memory (e.g., floppy disks, hard disks, magnetic tape, magneto-optical disks (MOs), etc.), optical memory (e.g., CDs, DVDs, BDs, HVDs, etc.), and semiconductor memory (e.g., ROMs, EPROMs, EEPROMs, nonvolatile memory (NAND FLASH), Solid State Disks (SSDs)), etc.
In a fourth aspect, fig. 7 shows a block diagram of an electronic device according to another embodiment of the invention. The electronic device 1100 may be a host server with computing capabilities, a personal computer PC, or a portable computer or terminal that is portable, or the like. The specific embodiment of the present invention does not limit the specific implementation of the electronic device.
The electronic device 1100 includes at least one processor (processor)1110, a Communications Interface 1120, a memory 1130, and a bus 1140. The processor 1110, the communication interface 1120, and the memory 1130 communicate with each other via the bus 1140.
The communication interface 1120 is used for communicating with network elements including, for example, virtual machine management centers, shared storage, etc.
Processor 1110 is configured to execute programs. Processor 1110 may be a central processing unit CPU, or an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement embodiments of the present invention.
The memory 1130 is used for executable instructions. The memory 1130 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory. The memory 1130 may also be a memory array. The storage 1130 may also be partitioned and the blocks may be combined into virtual volumes according to certain rules. The instructions stored by the memory 1130 are executable by the processor 1110 to enable the processor 1110 to perform the method of hearing talent training in any of the method embodiments described above.
In practical application, the system for hearing talent training comprises a main control module 3, a sound mixing module 4, a background noise data module, an environment sound equivalent masking noise data and test audio output module 5. The main control module 3 is connected with the sound mixing module 4, the background noise data module and the environment sound equivalent masking noise data, receives data from the sound mixing module 4, the background noise data module and the environment sound equivalent masking noise data, and sends data to the sound mixing module 4, the background noise data module and the environment sound equivalent masking noise data, and the main control module 3 is a PC or an embedded computer which can allow a database. The background noise database 1 module is connected with the main control module 3. The required background noise data is provided for the main control module 3, the environment equivalent masking noise database module is connected with the main control module 3, the required environment sound equivalent noise data is provided for the main control module 3, and the background noise and environment equivalent masking noise database is a removable storage medium.
The sound mixing module 4 is connected with the main control module 3, receives the test sound, the background noise data and the environment sound equivalent noise data from the main control module 3, combines all the sound outputs into one path of analog audio output, and is provided with an embedded CPU (central processing unit) which can drive an audio DAC (digital-to-analog converter). The test audio output module 5 is connected with the sound mixing module 4, receives the analog audio output from the sound mixing module 4, and converts the analog audio output into sound output, and the test audio output module is a standard earphone for audiometers. The main control module 3 completes the functions of system management, data storage, man-machine interaction and the like.
As shown in fig. 2, the background noise collection subsystem includes an underwater acoustic sensor 6 module, a data collection module 7, and a background noise data creation module 8 (method). The underwater acoustic sensor 6 is used for acquiring different background noises, converting the background noises into digital signals through the data acquisition module 7, and establishing a noise database through a background noise establishing method.
As shown in fig. 3, the ambient sound equivalent masking noise data creating subsystem includes: the system comprises a pressure clamp module, a resonance coupling cavity 9 module, a microphone 10 module, a data acquisition module 7 and an environment sound equivalent masking noise database 2 building module (method). The pressure clamp module is connected with the resonance coupling cavity 9 and used for fixing an audiometer earphone on the resonance coupling cavity 9, the resonance coupler is connected with the microphone 10 and used for converting the environment sound equivalent noise into analog audio data, the data acquisition module 7 is connected with the microphone 10 and used for converting the analog audio into a digital signal, and the data acquisition module 7 is connected with the environment sound equivalent masking noise data establishment module 11. An ambient sound equivalent masking noise database 2 is established.
As shown in FIG. 4, the software of the training system for hearing talent includes a man-machine interaction module 12, a main program module 13, and an audio output module 14. The human-computer interaction module 12 is connected with the main program module 13 and used for interaction between a tester and a tested person, and the audio output module 14 is connected with the main program module 13 and used for receiving audio data from the main program and outputting audio DAC which is converted into analog audio. The database creation module is connected to the main program for collecting and creating corresponding noise data and transmitting the corresponding noise data according to the requirements of the main program module 13. The man-machine interaction module 12 runs on the main control module 3 (the PC main program module 13), the audio output module 14 runs on the sound mixing module 4, and the data establishment module 15 runs on the background noise data establishment module 8 and the ambient sound equivalent masking noise module.
Background noise database 1 building method and steps
The method comprises the following steps: and acquiring background noise by adopting an underwater acoustic sensor 6 and the like according to different working properties of the detected personnel and aiming at different applications.
Step two: background noise classification, classifying according to the working property of the tested person and the characteristics of the noise
Step three: the index is stored and built.
Method and step for establishing environment sound equivalent masking noise database 2
The method comprises the following steps: a test system is built in the actual working environment of a tested person, and comprises a pressure clamp module, a coupling resonant cavity module and a microphone 10 module for collecting environmental sounds. (ordinary environmental noise test, generally adopt microphone, etc. to gather the data directly, the characteristic of the invention is, adopt the press fixture and couple the resonant cavity to gather, with when using the earphone, the noise data that the personnel of being measured received are the same, so called equivalent masking noise.)
Step two: and (4) noise classification, wherein classification is carried out according to different working environments and different working states (such as ship berthing, heading and the like).
Step three: and modeling, namely modeling the acquired noise data by adopting an ARMA method.
Step four: the index is stored and built.
Example (b):
such as a sonar personnel hearing test of a ship. The sonar personnel distinguish and listen to barrier information such as ships, sea-bed mountains and the like aiming at sonar return signals, but many objects in the sea can return sonar signals, such as fish swarms and large fishes. Sea floor noise, etc. Different sonars for different vessels return signals. The frequency spectrums of the signals are greatly overlapped, and a sonar operator needs to use a lot of information except the frequency to distinguish useful information, which is different from a standard single-frequency signal hearing test.
In addition, a sonar operator usually works on a ship, the available space of the ship is small, the noise of a generator, an engine, a propeller and other working machines during working is unavoidable, and silence is difficult to achieve, so that the noise of the sonar operator can be heard through an earphone under the environment during working, the noise and the background noise share to influence the sonar operator, and the noise are all what standard hearing tests cannot involve.
If directly adopt the environment sound of collection such as microphone, it is different with the sonar personnel when operating condition hears the environment sound, and the environment sound that the sonar personnel heard is passed to the duct through the earphone masking.
The invention aims at the sonar personnel and implements the following examples:
the system of the invention collects the equivalent masking noise data of the environmental sound, records and indexes according to different working states of the ship, such as different occasions, such as berthing, starting, sailing, different working conditions and the like, then extracts the characteristics of different noise data, including frequency spectrum, amplitude and the like, and updates the data according to new environmental sound data.
Outside the ship, the underwater acoustic sensor 6 is adopted to collect ocean background noise, and the ocean background noise is recorded and stored respectively in ports, busy roadways, open oceans, fisheries, offshore places, open seas and other different situations, and can be updated according to new background noise data.
The testing process comprises the following steps:
after the data is established, the system can be used for testing sonar personnel.
The man-machine interface of the test system runs on a PC, can select a database, test the frequency, amplitude, duration and intensity (signal-to-noise ratio) of noise data, can interact with a tested sonar operator, and runs a main program. And the main program of the system starts to work according to the instruction of the human-computer interaction interface. When the testing staff is well set through the human-computer interface. The database, noise and test tone parameters, the main program reads the noise data from the background noise database 1 and the ambient tone equivalent masking noise database 2, and generates or reads the test tone. When the test staff informs the tested sonar personnel of starting the test, the test staff clicks a start test button. The main program sends the prepared noise data packet and the test tone data packet to the sound mixing module 4 through the Ethernet, and the sound mixing module 4 digitally adds the noise data and the test tone data of the two. And the calculation result is used as an audio DAC and is converted into an analog audio signal, the test sound output module is driven to synthesize a test sound signal according to the parameters, and the sampling frequency is determined by a main program.
The tested sonar personnel distinguish and listen through the testing sound signals output by the testing sound output module, and the distinguishing and listening results are returned to the human-computer interface, and the main program records the testing results.
In the testing process, testing staff can randomly select the testing parameters or specify standard testing parameter changes, and the testing parameters can be adjusted step by step. The number of samples in the noise database may be accumulated step by step during system implementation.
The hardware system of the hearing talent training system can comprise a system host, a test terminal, an audio output device and a system self-calibration subsystem, and the hardware system mainly has the functions of storing and generating test audio data of a sonar staff, calibrating the system, acquiring the audio data and the like. The system host is a PC, mainly runs management software, and sends a test audio data value device terminal; the test terminal receives test audio data from the host computer, converts the test audio data into an audio signal and outputs the audio signal to the device; the audio output device is a standard audiometer earphone; the system self-calibration subsystem has the function of calibrating the principle model machine of the whole hearing-identifying capability training and evaluating device, and ensures the stability of the system maintaining performance and precision.
The software system is used for testing the hearing of the tested person with matched hardware, evaluating the hearing level of the tested person through a self-research algorithm, and recording a test result. After the tested person enters the self information, the tested person enters a test interface, test audio is selected from the database in sequence, the hearing test requirement is completed according to the requirement, the test record is stored and quitted, and the software also has the function of modifying and deleting the information and the test record of the tested person. The software adopts a deep learning algorithm to evaluate the accuracy of a tested person and sends a specific actual background sound, and the software passes through a deep learning algorithm module: py identifies the background sound, and the identification result is used for verifying and evaluating the result of the tested person, wherein the consistency indicates that the tested person passes the test, and the inconsistency indicates that the tested person is wrong in the test.
In summary, the hearing talent training system, method, storage medium and electronic device of the present invention can objectively evaluate pure tone hearing under different noise working environments, and objectively evaluate the ability of distinguishing hearing of a specific signal submerged under a complex background sound.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The foregoing descriptions of specific exemplary embodiments of the present invention have been presented for purposes of illustration and description. It is not intended to limit the invention to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The exemplary embodiments were chosen and described in order to explain certain principles of the invention and its practical application to enable one skilled in the art to make and use various exemplary embodiments of the invention and various alternatives and modifications as are suited to the particular use contemplated. It is intended that the scope of the invention be defined by the claims and their equivalents.
Claims (8)
1. A hearing talent training system adapted for use in a noise masking environment, said hearing talent training system comprising:
a background noise database to provide background noise data;
an ambient sound equivalent masking noise database for providing ambient sound equivalent masking noise data;
the main control module is used for receiving the background noise data and the environment sound equivalent masking noise data;
the sound mixing module is used for receiving the background noise data and the environment sound equivalent masking noise data sent by the main control module and outputting and synthesizing the background noise data and the environment sound equivalent masking noise data into a path of analog audio output; and
and the test audio output module is used for receiving the analog audio output sent by the sound mixing module, converting the analog audio output into sound output and providing the sound output for the tested personnel for training.
2. The system of claim 1, wherein the background noise database is established by a background noise acquisition subsystem, the background noise acquisition subsystem comprises an underwater acoustic sensor module and a data acquisition module, the underwater acoustic sensor module is used for acquiring different background noises, the data acquisition module converts the different background noises into digital signals, and the background noise database is established by a background noise establishment method.
3. The hearing talent training system of claim 3, wherein the ambient sound equivalent masking noise database is built by an ambient sound equivalent masking noise data building subsystem comprising a pressure clamp module, a resonant coupled cavity module, a microphone module, a data acquisition module, and an ambient sound equivalent masking noise data building module;
the pressure clamp module is connected with the resonance coupling cavity module and is used for fixing an audiometer earphone on the resonance coupling cavity module;
the resonance coupling cavity module is connected with the microphone module and is used for converting the environment sound equivalent noise into analog audio data;
the data acquisition module is connected with the microphone and is used for converting analog audio data into digital signals;
the data acquisition module is connected with the environment sound equivalent masking noise data establishing module, and the environment sound equivalent masking noise data establishing module establishes the environment sound equivalent masking noise database according to digital signals.
4. A method for hearing talent training is suitable for being used in a noise masking environment, and is characterized in that the method for hearing talent training comprises the following steps:
providing background noise data;
providing ambient sound equivalent masking noise data;
synthesizing the background noise data and the environment sound equivalent masking noise data into a path of analog audio output; and
and converting one path of analog audio output into sound output to be provided for the tested personnel for training.
5. The method of hearing talent training of claim 4, wherein providing the background noise data comprises:
acquiring background noise, namely acquiring the background noise by adopting an underwater sound sensor aiming at different applications according to different working properties of a person to be detected;
classifying background noise according to the working property of the tested personnel and the characteristics of the noise; and
and storing and establishing an index to form background noise data.
6. The method of hearing talent training of claim 4, wherein providing the ambient sound equivalent masking noise data comprises:
noise collection is carried out under the actual working environment of the tested personnel;
classifying the noise according to different working environments and different working states;
modeling, namely modeling the acquired noise data by adopting an ARMA method;
and storing and establishing an index to form the environmental sound equivalent masking noise data.
7. A storage medium having stored thereon computer-executable instructions for performing the method of hearing talent training of any of claims 4-6.
8. An electronic device, comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of hearing talent training of any one of claims 4-6.
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