A digital hearing aid dynamic noise reduction method and device

Abstract

This invention patent provides a dynamic noise reduction method and device for digital hearing aids, relating to the field of hearing aids and applied to digital hearing aids. The method includes: acquiring ambient sound around the digital hearing aid and converting the ambient sound into an acoustic signal; analyzing the frequency of the acoustic signal through Fourier transform to obtain multiple synthesized signal types and loudness information of the synthesized signal types; switching the signal-to-noise ratio (SNR) program according to the differences in loudness information of the synthesized signal types and the discreteness of the loudness information of the synthesized signal types. By decomposing and analyzing the acoustic signal, the synthesized signal types and their loudness information can be obtained. The SNR is reduced when any synthesized signal type is too loud or when there is a large loudness difference between synthesized signal types, and the SNR is increased when the loudness difference between synthesized signal types is not large. This can reduce sound loss caused by the filtering process while ensuring hearing effect and improve the fidelity of the hearing aid.

Description

Technical Field

[0001] This invention relates to the field of hearing aids, specifically to a dynamic noise reduction method and device for digital hearing aids. Background Technology

[0002] Digital hearing aids can automatically identify and compress sound signals at noise frequencies in noisy environments, highlighting sound signals at speech frequencies to improve the signal-to-noise ratio and ensure speech recognition rate. They employ frequency segmentation and multi-channel technology for more refined sound signal processing, resulting in speech fidelity and sound quality that are closer to the natural perception of the human ear. Different hearing programs can be set according to different user environments and automatically switched. Chinese Patent Publication No. CN105679330B discloses a digital hearing aid noise reduction method based on improved subband signal-to-noise ratio estimation. The method employs a decomposition filter bank to divide the original signal into several subbands. Then, it calculates the cross-correlation function and mean square value of adjacent frames in each subband to estimate the signal-to-noise ratio of that subband. Next, it calculates the gain of each subband based on the estimated signal-to-noise ratio and multiplies it with the subband signal to obtain a corrected subband signal. Finally, it synthesizes the corrected subband signals to obtain the noise-reduced speech. This more accurate subband signal-to-noise ratio estimation method results in better background noise suppression and reduces hearing fatigue for hearing aid users. The method is simple and efficient, avoiding the time delay performance issues caused by inverse Fourier transform. Significant improvements have been achieved, with a 60.6% improvement over traditional spectral subtraction and a 40.7% improvement over traditional Wiener filtering. These technologies provide a more accurate signal-to-noise ratio estimation method and improve the suppression of background noise. However, the acoustic environment in which the user is located is constantly changing, and relying solely on estimation is not conducive to improving the environmental adaptability of hearing aids. Furthermore, if the filter width is too narrow, some useful signals may be filtered out, leading to signal distortion. Conversely, widening the filter width allows more frequency components to pass through, which may introduce more noise, resulting in excessive noise. Currently, mainstream digital hearing aids on the market struggle to achieve a balance between fidelity and noise. Therefore, there is an urgent need for a dynamic noise reduction method and device for digital hearing aids.

[0003] Invention Patent Content To address the shortcomings of existing technologies, this invention provides a dynamic noise reduction method and device for digital hearing aids, thereby improving the performance of digital hearing aids.

[0004] According to a first aspect of the present disclosure, a preferred embodiment of the present invention provides a dynamic noise reduction method for a digital hearing aid, applied to a digital hearing aid, the method comprising: Collect ambient sounds around the digital hearing aid and convert the ambient sounds into sound signals; By analyzing the frequency of the acoustic signal through Fourier transform, multiple synthetic signal types and loudness information of the synthetic signal types are obtained; The signal-to-noise ratio (SNR) program is switched based on the loudness information differences of the synthesized signal type and the discreteness of the loudness information of the synthesized signal type. The SNR program is at least set with three modes: low SNR mode, default SNR mode, and high SNR mode.

[0005] In one embodiment, the signal-to-noise ratio (SNR) program is switched based on the loudness information differences of the synthesized signal type and the discreteness of the loudness information of the synthesized signal type. The SNR program includes at least three modes: a low SNR mode, a default SNR mode, and a high SNR mode. If the loudness information of any of the synthesized signal types is greater than 1.7 times the average loudness information of all synthesized signal types, the digital hearing aid executes a low signal-to-noise ratio mode. If the loudness information of any of the synthesized signal types is less than 1.7 times the average loudness information of all synthesized signal types, then the signal-to-noise ratio mode is switched according to the discreteness of the loudness information of all synthesized signal types.

[0006] In one embodiment, if the loudness information of any of the synthesized signal types is less than 1.7 times the average loudness information of all synthesized signal types, then switching the signal-to-noise ratio mode according to the discreteness of the loudness information of all the synthesized signal types includes: If the discreteness of the loudness information of the synthesized signal type is within a low threshold, the digital hearing aid executes a high signal-to-noise ratio mode. If the discreteness of the loudness information of the synthesized signal type is within a high threshold, then the digital hearing aid will operate in a low signal-to-noise ratio mode. If the discreteness of the loudness information of the synthesized signal type is within a safe threshold, then the digital hearing aid defaults to a signal-to-noise ratio mode.

[0007] In one embodiment, the difference between the low signal-to-noise ratio mode, the default signal-to-noise ratio mode, and the high signal-to-noise ratio mode lies in the different filter bandwidths, and the filter bandwidths of the low signal-to-noise ratio mode, the default signal-to-noise ratio mode, and the high signal-to-noise ratio mode increase sequentially.

[0008] According to a second aspect of the present disclosure, the present invention provides a dynamic noise reduction device for a digital hearing aid, applied to a digital hearing aid, the device comprising: The acquisition module is used to acquire ambient sounds around the digital hearing aid and convert the ambient sounds into sound signals; The analysis module is used to identify and analyze the frequency of the acoustic signal through Fourier transform to obtain multiple synthetic signal types and loudness information of the synthetic signal types; The switching module is used to switch the signal-to-noise ratio (SNR) program according to the difference in loudness information of the synthesized signal type and the discreteness of the loudness information of the synthesized signal type. The SNR program is at least set with three modes: low SNR mode, default SNR mode, and high SNR mode.

[0009] In one embodiment, the switching module includes: The first execution module is configured to execute a low signal-to-noise ratio mode if the loudness information of any of the synthesized signal types is greater than 1.7 times the average loudness information of all synthesized signal types. The execution determination module is used to switch the signal-to-noise ratio mode according to the discreteness of the loudness information of all the synthesized signal types if the loudness information of any of the synthesized signal types is less than 1.7 times the average loudness information of all the synthesized signal types.

[0010] In one embodiment, the execution determination module includes: The second execution module is configured to execute a high signal-to-noise ratio mode if the discreteness of the loudness information of the synthesized signal type is within a low threshold. The third execution module is used to enable the digital hearing aid to execute a low signal-to-noise ratio mode if the discreteness of the loudness information of the synthesized signal type is within a high threshold. The fourth execution module is used to set the digital hearing aid to a default signal-to-noise ratio mode if the discreteness of the loudness information of the synthesized signal type is within a safe threshold.

[0011] In one embodiment, the difference between the low signal-to-noise ratio mode, the default signal-to-noise ratio mode, and the high signal-to-noise ratio mode lies in the different filter bandwidths, and the filter bandwidths of the low signal-to-noise ratio mode, the default signal-to-noise ratio mode, and the high signal-to-noise ratio mode increase sequentially.

[0012] According to a third aspect of the present disclosure, the present invention provides a dynamic noise reduction device for a digital hearing aid, comprising: processor; Memory used to store the processor's executable instructions; The processor is configured to perform the steps of the above method.

[0013] According to a fourth aspect of the present disclosure, the present invention provides a computer-readable storage medium having a computer program stored thereon, the computer program being executed by a processor of the steps of the above-described method.

[0014] As can be seen from the above technical solution, the dynamic noise reduction method and device for digital hearing aids provided by this invention patent can include the following beneficial effects: This disclosure can obtain the synthesized signal type and loudness information of the synthesized signal type by decomposing and analyzing the sound signal. When the loudness of any synthesized signal type is too high or there is a large loudness difference between synthesized signal types, the signal-to-noise ratio is reduced. When the loudness difference between synthesized signal types is not large, the signal-to-noise ratio is increased. This can reduce the sound loss caused by the filtering process while ensuring hearing effect, improve the fidelity of the hearing aid, help users better understand sound in simple sound environments, and exchange fidelity for clarity when hearing effect cannot be guaranteed. This helps users distinguish different sounds in complex sound environments, improves the adaptability of hearing-impaired patients to dynamic environmental changes, and indirectly achieves a balance between fidelity and noise.

[0015] It should be understood that the above general description and the following detailed description are merely exemplary and do not limit this disclosure. Attached Figure Description

[0016] To more clearly illustrate the specific embodiments of this invention, the accompanying drawings used in the description of the specific embodiments or prior art will be briefly introduced below. In all the drawings, the elements or parts are not necessarily drawn to scale.

[0017] Figure 1 A flowchart of a dynamic noise reduction method for a digital hearing aid provided for this invention patent; Figure 2 A flowchart of step S30 in a dynamic noise reduction method for a digital hearing aid provided by this invention patent; Figure 3 A flowchart of step S302 in a dynamic noise reduction method for a digital hearing aid provided by this invention patent; Figure 4 A block diagram of a dynamic noise reduction device for a digital hearing aid provided by this invention patent; Figure 5 This invention patent provides a block diagram of another dynamic noise reduction device for digital hearing aids. Detailed Implementation

[0018] The embodiments of the technical solution of this invention will now be described in detail with reference to the accompanying drawings. These embodiments are merely illustrative of the technical solution of this invention and are therefore intended to limit the scope of protection of this invention.

[0019] Figure 1This invention provides a flowchart of a dynamic noise reduction method for digital hearing aids. The method is applied to a binaural hearing aid terminal, which can display images, videos, text messages, WeChat messages, and other information. The terminal can be equipped with any terminal device with a display screen, such as a mobile phone, computer, digital broadcasting terminal, messaging device, game console, tablet, medical device, fitness equipment, or personal digital assistant. This embodiment provides a dynamic noise reduction method for digital hearing aids, such as... Figure 1 As shown, the method, applied to digital hearing aids, includes the following steps S10-S30: In step S10, ambient sounds around the digital hearing aid are collected and converted into sound signals; Specifically, digital hearing aids collect ambient sound through a built-in miniature microphone. The collected sound signal is an analog signal, which needs to be converted into a digital signal by an analog-to-digital converter (ADC). The ADC converts the electrical signal from the microphone into a series of digital numbers so that the signal can be "digitally processed" to ensure that all audio signals entering the hearing aid are sampled. A low-pass filter, also known as an anti-aliasing filter, is added inside the ADC. Its function is to attenuate audio signals with frequencies higher than the sampling frequency to audio signals with frequencies lower than the sampling frequency, thereby ensuring that all audio signals are sampled. It is worth noting that the sampled sound signal is further processed by a filter and an amplifier. Finally, the processed sound signal is played back by a speaker built into the digital hearing aid so that users with hearing loss can hear sounds.

[0020] In step S20, the frequency identification and analysis of the acoustic signal is performed by Fourier transform to obtain multiple synthetic signal types and loudness information of the synthetic signal types; Specifically, Fourier transform can convert time-domain signals to frequency-domain signals, thereby analyzing the frequency components of the signal. The horizontal axis represents each frequency component, and the vertical axis represents the amplitude value of the signal. Digital hearing aids can use the loudness information of these synthesized signal types to adjust their parameters to improve the speech recognition ability of hearing-impaired users. In addition, the distribution of loudness information of synthesized signal types is also an important basis for hearing adjustment.

[0021] In step S30, the signal-to-noise ratio (SNR) program is switched according to the loudness information difference of the synthesized signal type and the discreteness of the loudness information of the synthesized signal type. The SNR program is at least set with three modes: low SNR mode, default SNR mode, and high SNR mode. In this implementation, the application introduces loudness information of the synthesized signal type and the discrete type of loudness information of the synthesized signal type as the basis for distinguishing environmental needs. By analyzing the above data, the user's attention shift can be known to infer the user's needs. The signal-to-noise ratio program can be added on the basis of the low signal-to-noise ratio mode, the default signal-to-noise ratio mode and the high signal-to-noise ratio mode to refine the hearing mode, reduce the abruptness of switching between different signal-to-noise ratio modes, and make the use of hearing aids more comfortable and natural.

[0022] In one embodiment, such as Figure 2 As shown, in step S30, the signal-to-noise ratio (SNR) program is switched according to the loudness information difference of the synthesized signal type and the discreteness of the loudness information of the synthesized signal type. The SNR program has at least three settings: low SNR mode, default SNR mode, and high SNR mode, including: In step S31, if the loudness information of any of the synthesized signal types is greater than 1.7 times the average loudness information of all synthesized signal types, the digital hearing aid executes a low signal-to-noise ratio mode. In this implementation, when one or a few loud sounds appear in the user's environment, the user's attention will be drawn to these sounds. At this time, the impact of low-frequency noise on the user is relatively small. By reducing the bandwidth of the filter, more sound details can be preserved, which helps the user to better understand the sound.

[0023] In step S32, if the loudness information of any of the synthesized signal types is less than 1.7 times the average loudness information of all synthesized signal types, then the signal-to-noise ratio mode is switched according to the discreteness of the loudness information of all synthesized signal types. In this implementation, when a large number of loud sounds are present in the user's environment, the user's attention will be drawn to these sounds. However, if the loudness of the sound is much greater than that of the low-frequency noise, the low-frequency noise will have a relatively small impact on the user. If the difference in loudness is not significant, the noise will have a relatively large impact on the user. In this case, by using the discreteness of loudness to reanalyze the sound, the hearing aid can better help the user distinguish the environment they need. It is worth noting that the value of 1.7 times is a relatively reasonable parameter used in the dynamic noise reduction method of digital hearing aids to judge and switch the signal-to-noise ratio mode. It is more in line with the human body's reaction mechanism, and this value can be adaptively adjusted according to the hearing test results of different users.

[0024] In one embodiment, such as Figure 3 As shown, in step S32, if the loudness information of any of the synthesized signal types is less than 1.7 times the average loudness information of all synthesized signal types, then the signal-to-noise ratio mode is switched according to the discreteness of the loudness information of all the synthesized signal types, including: In step S321, if the discreteness of the loudness information of the synthesized signal type is within a low threshold, the digital hearing aid executes a high signal-to-noise ratio mode. In this implementation, when a large number of loud sounds are present in the user's environment and the differences in sound loudness are not obvious, the user's attention cannot be completely attracted by one or a few sounds. Although increasing the filtering bandwidth will sacrifice some sound details, it can also reduce noise and help the user better distinguish sounds, allowing the user to hear the target sound better in complex sound environments.

[0025] In step S322, if the discreteness of the loudness information of the synthesized signal type is within a high threshold, the digital hearing aid will execute a low signal-to-noise ratio mode. In this implementation, when there are a large number of loud sounds in the user's environment or when there are no large numbers of loud sounds in the user's environment, and some sounds have significant differences in loudness, the user's attention will be attracted to several loud sounds. At this time, the low-frequency noise has a relatively small impact on the user. By reducing the bandwidth of the filter, more sound details can be preserved, which helps the user to better understand the sound.

[0026] In step S323, if the discreteness of the loudness information of the synthesized signal type is within a safe threshold, the digital hearing aid defaults to a signal-to-noise ratio mode. In this implementation, when there are no large numbers of loud sounds in the user's environment and the differences in sound loudness are not obvious, the user's attention will not be attracted by one or a few sounds. At this time, the impact of bass noise on the user is at a reasonable level. It uses a medium filtering bandwidth and is suitable for general auditory environments. It achieves a balance between noise reduction effect and sound fidelity and is suitable for daily use.

[0027] In one embodiment, the difference between the low signal-to-noise ratio mode, the default signal-to-noise ratio mode, and the high signal-to-noise ratio mode lies in the different filtering bandwidths, and the filtering bandwidths of the low signal-to-noise ratio mode, the default signal-to-noise ratio mode, and the high signal-to-noise ratio mode increase sequentially. In this implementation, the low signal-to-noise ratio (SNR) mode, the default SNR mode, and the high SNR mode are all suitable for completely different sound environments due to their different filtering bandwidths. The default SNR mode is suitable for environments with good hearing, such as daily home life and meetings. The low SNR mode is suitable for emergencies, such as horns and loud shouts. The high SNR mode is suitable for noisy environments, such as bustling city streets.

[0028] The following are embodiments of the apparatus disclosed herein, which can be used to execute embodiments of the method disclosed herein.

[0029] Figure 4This invention patent provides a block diagram of a dynamic noise reduction device for a digital hearing aid. This device can be implemented as part or all of an electronic device through software, hardware, or a combination of both. Figure 5 As shown, the device, applied to a digital hearing aid, includes: Acquisition module 100 is used to acquire ambient sounds around the digital hearing aid and convert the ambient sounds into sound signals; Analysis module 200 is used to analyze the frequency of the acoustic signal through Fourier transform to obtain multiple synthetic signal types and loudness information of the synthetic signal types; The switching module 300 is used to switch the signal-to-noise ratio program according to the difference in loudness information of the synthesized signal type and the discreteness of the loudness information of the synthesized signal type. The signal-to-noise ratio program is at least set with three modes: low signal-to-noise ratio mode, default signal-to-noise ratio mode and high signal-to-noise ratio mode.

[0030] This disclosure, through the decomposition and analysis of sound signals, can obtain the type of synthesized signal and the loudness information of the synthesized signal type. When the loudness of any synthesized signal type is too high or there is a large loudness difference between synthesized signal types, the signal-to-noise ratio is reduced. When the loudness difference between synthesized signal types is not large, the signal-to-noise ratio is increased. This can reduce the sound loss caused by the filtering process while ensuring hearing effect, improve the fidelity of hearing aids, help users better understand sounds in simple sound environments, and exchange fidelity for clarity when hearing effect cannot be guaranteed, helping users distinguish different sounds in complex sound environments. This improves the adaptability of hearing-impaired patients to dynamic environmental changes and indirectly achieves a balance between fidelity and noise.

[0031] In one embodiment, such as Figure 4 As shown, the switching module 300 includes: The first execution module 301 is configured to execute a low signal-to-noise ratio mode if the loudness information of any of the synthesized signal types is greater than 1.7 times the average loudness information of all synthesized signal types. The execution determination module 302 is used to switch the signal-to-noise ratio mode according to the discreteness of the loudness information of all the synthesized signal types if the loudness information of any of the synthesized signal types is less than 1.7 times the average loudness information of all the synthesized signal types.

[0032] In one embodiment, such as Figure 4 As shown, the execution determination module 302 includes: The second execution module 3021 is used to execute a high signal-to-noise ratio mode if the discreteness of the loudness information of the synthesized signal type is within a low threshold. The third execution module 3022 is used to execute a low signal-to-noise ratio mode if the discreteness of the loudness information of the synthesized signal type is within a high threshold. The fourth execution module 3023 is used to configure the digital hearing aid to default signal-to-noise ratio mode if the discreteness of the loudness information of the synthesized signal type is within a safe threshold.

[0033] In one embodiment, the difference between the low signal-to-noise ratio mode, the default signal-to-noise ratio mode, and the high signal-to-noise ratio mode lies in the different filter bandwidths, and the filter bandwidths of the low signal-to-noise ratio mode, the default signal-to-noise ratio mode, and the high signal-to-noise ratio mode increase sequentially.

[0034] This disclosure also provides a dynamic noise reduction device for a digital hearing aid: Figure 5 This is a block diagram illustrating a dynamic noise reduction device 800 for a digital hearing aid according to an exemplary embodiment. For example, device 800 may be a mobile phone, computer, digital broadcasting terminal, messaging device, game console, tablet device, medical device, fitness equipment, personal digital assistant, etc.

[0035] Reference Figure 5 The device 800 may include one or more of the following components: a processing component 802, a memory 804, a power supply component 806, a multimedia component 808, an audio component 810, an input / output (I / O) interface 812, a sensor component 814, and a communication component 816.

[0036] Processing component 802 typically controls the overall operation of device 800, such as operations associated with display, telephone calls, data communication, camera operation, and recording. Processing component 802 may include one or more processors 820 to execute instructions to perform all or part of the steps of the methods described above. Furthermore, processing component 802 may include one or more modules to facilitate interaction between processing component 802 and other components. For example, processing component 802 may include a multimedia module to facilitate interaction between multimedia component 808 and processing component 802.

[0037] Memory 804 is configured to store various types of data to support the operation of device 800. Examples of such data include instructions for any application or method operating on device 800, contact data, phonebook data, messages, pictures, videos, etc. Memory 804 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0038] Power supply component 806 provides power to various components of device 800. Power supply component 806 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power to device 800.

[0039] Multimedia component 808 includes a screen that provides an output interface between the device 800 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touchscreen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensors may sense not only the boundaries of the touch or swipe action but also the duration and pressure associated with the touch or swipe operation. In some embodiments, multimedia component 808 includes a front-facing camera and / or a rear-facing camera. When the device 800 is in an operating mode, such as a shooting mode or a video mode, the front-facing camera and / or the rear-facing camera may receive external multimedia data. Each front-facing camera and rear-facing camera may be a fixed optical lens system or have focal length and optical zoom capabilities.

[0040] Audio component 810 is configured to output and / or input audio signals. For example, audio component 810 includes a microphone (MIC) configured to receive external audio signals when device 800 is in an operating mode, such as call mode, recording mode, and voice recognition mode. The received audio signals may be further stored in memory 804 or transmitted via communication component 816. In some embodiments, audio component 810 also includes a speaker for outputting audio signals.

[0041] I / O interface 812 provides an interface between processing component 802 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to, home buttons, volume buttons, power buttons, and lock buttons.

[0042] Sensor assembly 814 includes one or more sensors for providing status assessments of various aspects of device 800. For example, sensor assembly 814 may detect the on / off state of device 800, the relative positioning of components such as the display and keypad of device 800, changes in the position of device 800 or a component of device 800, the presence or absence of user contact with device 800, the orientation or acceleration / deceleration of device 800, and temperature changes of device 800. Sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. Sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, sensor assembly 814 may also include an accelerometer, a gyroscope, a magnetometer, a pressure sensor, or a temperature sensor.

[0043] The communication component 816 is configured to facilitate wired or wireless communication between the device 800 and other devices. The device 800 can access wireless networks based on communication standards, such as WiFi, 2G or 3G, or combinations thereof.

[0044] In one exemplary embodiment, the communication component 816 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In another exemplary embodiment, the communication component 816 further includes a near-field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0045] In an exemplary embodiment, the apparatus 800 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the methods described above.

[0046] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 804 including instructions, which can be executed by a processor 820 of the device 800 to perform the above-described method. For example, the non-transitory computer-readable storage medium may be a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc.

[0047] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the following claims.

[0048] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

Claims

1. A dynamic noise reduction method for digital hearing aids, characterized in that, The method, applied to digital hearing aids, includes: Collect ambient sounds around the digital hearing aid and convert the ambient sounds into sound signals; By analyzing the frequency of the acoustic signal through Fourier transform, multiple synthetic signal types and loudness information of the synthetic signal types are obtained; The signal-to-noise ratio (SNR) program is switched based on the loudness information differences of the synthesized signal type and the discreteness of the loudness information of the synthesized signal type. The SNR program is at least set with three modes: low SNR mode, default SNR mode, and high SNR mode.

2. The method according to claim 1, characterized in that, The signal-to-noise ratio (SNR) program is switched based on the loudness information differences and the discreteness of the loudness information of the synthesized signal types. The SNR program includes at least three modes: a low SNR mode, a default SNR mode, and a high SNR mode. If the loudness information of any of the synthesized signal types is greater than 1.7 times the average loudness information of all synthesized signal types, the digital hearing aid executes a low signal-to-noise ratio mode. If the loudness information of any of the synthesized signal types is less than 1.7 times the average loudness information of all synthesized signal types, then the signal-to-noise ratio mode is switched according to the discreteness of the loudness information of all synthesized signal types.

3. The method according to claim 2, characterized in that, If the loudness information of any of the synthesized signal types is less than 1.7 times the average loudness information of all synthesized signal types, then the signal-to-noise ratio mode is switched according to the discreteness of the loudness information of all synthesized signal types, including: If the discreteness of the loudness information of the synthesized signal type is within a low threshold, the digital hearing aid executes a high signal-to-noise ratio mode. If the discreteness of the loudness information of the synthesized signal type is within a high threshold, then the digital hearing aid will operate in a low signal-to-noise ratio mode. If the discreteness of the loudness information of the synthesized signal type is within a safe threshold, then the digital hearing aid defaults to a signal-to-noise ratio mode.

4. The method according to claim 1, characterized in that, The difference between the low signal-to-noise ratio (SNR) mode, the default SNR mode, and the high SNR mode lies in their different filter bandwidths, and the filter bandwidths of the low SNR mode, the default SNR mode, and the high SNR mode increase sequentially.

5. A dynamic noise reduction device for a digital hearing aid, characterized in that, The device, used in digital hearing aids, includes: The acquisition module is used to acquire ambient sounds around the digital hearing aid and convert the ambient sounds into sound signals; The analysis module is used to identify and analyze the frequency of the acoustic signal through Fourier transform to obtain multiple synthetic signal types and loudness information of the synthetic signal types; The switching module is used to switch the signal-to-noise ratio (SNR) program according to the difference in loudness information of the synthesized signal type and the discreteness of the loudness information of the synthesized signal type. The SNR program is at least set with three modes: low SNR mode, default SNR mode, and high SNR mode.

6. The apparatus according to claim 5, characterized in that, The switching module includes: The first execution module is configured to execute a low signal-to-noise ratio mode if the loudness information of any of the synthesized signal types is greater than 1.7 times the average loudness information of all synthesized signal types. The execution determination module is used to switch the signal-to-noise ratio mode according to the discreteness of the loudness information of all the synthesized signal types if the loudness information of any of the synthesized signal types is less than 1.7 times the average loudness information of all the synthesized signal types.

7. The apparatus according to claim 6, characterized in that, The execution determination module includes: The second execution module is configured to execute a high signal-to-noise ratio mode if the discreteness of the loudness information of the synthesized signal type is within a low threshold. The third execution module is used to enable the digital hearing aid to execute a low signal-to-noise ratio mode if the discreteness of the loudness information of the synthesized signal type is within a high threshold. The fourth execution module is used to set the digital hearing aid to a default signal-to-noise ratio mode if the discreteness of the loudness information of the synthesized signal type is within a safe threshold.

8. The apparatus according to claim 5, characterized in that... The difference between the low signal-to-noise ratio mode, the default signal-to-noise ratio mode, and the high signal-to-noise ratio mode lies in the different filtering bandwidths, and the filtering bandwidths of the low signal-to-noise ratio mode, the default signal-to-noise ratio mode, and the high signal-to-noise ratio mode increase sequentially.

9. A dynamic noise reduction device for a digital hearing aid, characterized in that, include: processor; Memory used to store the processor's executable instructions; The processor is configured to perform the steps of the method of any one of claims 1 to 4.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method of any one of claims 1 to 4.

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