Hearing aid supporting autonomous fitting

By integrating the smart earphone compartment and the environmental perception module into the autonomous fitting hearing aid, it automatically identifies the scene and generates personalized parameters, solving the problem of cumbersome operation for elderly users, achieving accurate fitting and scenario-based hearing compensation, and improving the convenience and safety of use.

CN120676301AInactive Publication Date: 2025-09-19GUANGDONG AISHI INTELLIGENT CO LTD
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Patent Information

Application Number
CN202510959311.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-11
Publication Date
2025-09-19
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Existing hearing aids require users to control functions through mobile phone apps, which is cumbersome to operate and leads to inaccurate parameter debugging during the fitting process for elderly users, affecting their use.

Method used

A hearing aid that supports autonomous fitting has been designed, which integrates an intelligent earphone compartment module, a communication management module, an environmental perception module, an intelligent processing module, an energy management module and a hearing aid terminal module. It automatically identifies scenes through environmental perception and intelligent processing, and generates personalized frequency response compensation parameters and noise reduction strategies without the need for mobile phone APP operation.

Benefits of technology

It enables elderly users to complete accurate fitting independently without external assistance, dynamically adapts to hearing compensation in different scenarios, supports independent calls and emergency alarms, and improves convenience and safety of use.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of hearing aids, and discloses a hearing aid supporting autonomous fitting, comprising an intelligent earphone bin module for providing equipment charging and autonomous fitting control; the communication management module is used for establishing wireless connection and external network communication; the environment sensing module is used for collecting environment physical signals; the intelligent processing module is used for identifying the current environment type and analyzing acoustic characteristics based on the signals acquired by the environment sensing module, and generating hearing aid frequency response compensation parameters and noise reduction strategies matched with the scene; and the energy management module is used for optimizing system power consumption distribution, and the intelligent earphone cabin module comprises a cross-device cooperation unit and a fitting control unit. Fitting software and hardware are integrated in the earphone cabin, automatic connection is achieved after the cover is opened, the operation steps of downloading a mobile phone APP, Bluetooth pairing and the like by a user are not needed, and the elderly user can independently complete accurate fitting of the hearing aid without external assistance.
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Description

Technical Field

[0001] The present invention relates to the technical field of hearing aids, and in particular to a hearing aid that supports autonomous fitting. Background Art

[0002] As the global population ages at an accelerated pace, the number of people with hearing impairments continues to rise. According to data from the World Health Organization, approximately 1.5 billion people worldwide have varying degrees of hearing loss, of which 430 million need assistive devices to improve their hearing. As a core tool for improving hearing impairment, the demand for hearing aids is becoming increasingly prominent.

[0003] However, hearing aids in the existing technology require users to control functions through mobile phone apps, which involves downloading, installing, Bluetooth pairing and other processes, and the operation is cumbersome. Elderly users generally face difficulties in operating smartphones, which often leads to inaccurate parameter debugging during the fitting process, thus affecting use. Summary of the Invention

[0004] In response to the shortcomings of the existing technology, the present invention provides a hearing aid that supports self-fitting, which solves the problem that the hearing aid in the existing technology requires users to control functions through a mobile phone APP, involving downloading and installation, Bluetooth pairing and other processes, which is cumbersome to operate and leads to inaccurate parameter debugging during the fitting process of elderly users, affecting their use.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0006] A hearing aid supporting self-fitting, comprising:

[0007] Smart earphone compartment module, used to provide device charging and autonomous fitting control;

[0008] Communication management module, used to establish wireless connection and external network communication;

[0009] Environmental perception module, used to collect environmental physical signals;

[0010] The intelligent processing module is used to identify the current environment type and analyze the acoustic characteristics based on the signals collected by the environmental perception module, and generate hearing aid frequency response compensation parameters and noise reduction strategies adapted to the scenario;

[0011] Energy management module, used to optimize system power consumption distribution;

[0012] The hearing aid terminal module is used to receive the scenario parameters generated by the intelligent processing module through the communication management module and perform real-time sound enhancement and noise reduction processing optimized for the current scenario;

[0013] The communication interaction module is used to realize the interactive control between users and the system.

[0014] Preferably, the smart earphone compartment module includes a cross-device collaboration unit and a fitting control unit. The cross-device collaboration unit is used to realize automatic connection with the hearing aid terminal when the cover is opened through a preset binding protocol, and synchronize the device status and fitting parameters to the hearing aid terminal; the fitting control unit is used to respond to physical buttons or voice commands to start the fitting process, and manage the storage and call of multi-scene parameters.

[0015] Preferably, the environment perception module includes an acoustic collection unit and a motion detection unit, the acoustic collection unit is used to capture environmental soundprint characteristics and sound source direction information, and the motion detection unit is used to monitor the user's three-dimensional spatial motion state and height change data.

[0016] Preferably, the intelligent processing module includes a scene analysis unit and a parameter generation unit. The scene analysis unit is used to identify the environment type based on acoustic characteristics, and the parameter generation unit is used to dynamically calculate the hearing aid frequency response compensation parameters to support scene-based parameter matching and adaptive adjustment.

[0017] Preferably, the communication management module includes a device interconnection unit and a mobile network unit. The device interconnection unit is used to maintain a low-latency data channel between the earphone compartment and the hearing aid terminal; the mobile network unit is used to realize independent calls, SMS sending and receiving, and cloud data interaction.

[0018] Preferably, the communication interaction module includes a voice interaction unit and a safety warning unit, wherein the voice interaction unit is used to parse natural language instructions and provide feedback on operation guidance; the safety warning unit is used to monitor emergency events and trigger location sharing alarms.

[0019] Preferably, the energy management module includes a power consumption control unit and a charging management unit. The power consumption control unit is used to dynamically allocate module energy efficiency according to scene requirements; the charging management unit is used to support wired fast charging and wireless charging protocols.

[0020] Preferably, the environment types identified by the scene analysis unit include quiet scenes, noisy scenes, call scenes and emergency scenes, and the parameter generation unit outputs independent gain curves and noise reduction strategies for different scenes.

[0021] Preferably, the emergency events monitored by the safety warning unit include fall events and SOS active call events, and when the event is triggered, an alarm message containing GPS coordinates is automatically sent to a preset contact.

[0022] Preferably, the power consumption control unit performs:

[0023] A scenario-driven energy efficiency strategy: when the scene analysis unit of the intelligent processing module identifies a quiet scene, it shuts down the mobile network unit of the communication management module and reduces the sampling rate of the environment perception module.

[0024] Priority power supply for emergency events. When the safety warning unit of the communication interaction module triggers a fall alarm, the fitting control unit of the smart headset compartment module and the voice interaction unit of the communication interaction module are forced to shut down to ensure continuous power supply to the mobile network unit of the communication management module.

[0025] Low battery adaptive degradation: when the battery capacity is lower than the critical threshold, only the basic acoustic processing function of the hearing aid terminal module is maintained.

[0026] The present invention provides a hearing aid that supports autonomous fitting and has the following beneficial effects:

[0027] 1. The present invention integrates the fitting software and hardware into the earphone compartment and realizes automatic connection when the cover is opened, without the need for users to download mobile phone APP, Bluetooth pairing and other operation steps, so that elderly users can independently complete the accurate fitting of hearing aids without external assistance.

[0028] 2. Based on the real-time acoustic features collected by the environmental perception module, the present invention automatically identifies multiple scenarios such as quiet, noisy, and conversations, and dynamically generates personalized frequency response compensation parameters and noise reduction strategies adapted to the current environment, achieving scenario-based intelligent adjustment for thousands of people.

[0029] 3. The present invention supports independent calling and networking functions through a mobile network unit, allowing the hearing aid to realize calls, text message sending and receiving, and cloud interaction without the mobile phone, while providing a communication basis for emergency positioning and remote assistance.

[0030] 4. The present invention integrates a voice interaction unit and a safety warning unit, realizes human-computer interaction control through natural language command analysis, and automatically monitors emergency events such as falls and SOS calls, triggering location information alarms to ensure user safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 This is a schematic diagram of the structure of the smart earphone compartment module of the present invention;

[0032] Figure 2 This is a diagram of the architecture of the present invention;

[0033] Figure 3 This is a diagram of the smart earphone compartment module architecture of the present invention;

[0034] Figure 4 This is a diagram of the communication management module architecture of the present invention;

[0035] Figure 5 This is a diagram of the environment perception module architecture of the present invention;

[0036] Figure 6 This is a diagram of the intelligent processing module architecture of the present invention;

[0037] Figure 7This is a diagram of the energy management module architecture of the present invention;

[0038] Figure 8 This is a diagram of the communication interaction module architecture of the present invention;

[0039] Figure 9 This is a relationship diagram of the modules of the present invention.

[0040] Among them, 1. Smart earphone compartment module. DETAILED DESCRIPTION

[0041] The following will clearly and completely describe the technical solution of the present invention in conjunction with the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0042] Please see the attached Figure 1 -Attached Figure 9 The embodiment of the present invention provides a hearing aid that supports autonomous fitting, characterized by comprising:

[0043] Smart earphone compartment module 1, used to provide device charging and autonomous fitting control;

[0044] Communication management module, used to establish wireless connection and external network communication;

[0045] Environmental perception module, used to collect environmental physical signals;

[0046] The intelligent processing module is used to identify the current environment type and analyze the acoustic characteristics based on the signals collected by the environmental perception module, and generate hearing aid frequency response compensation parameters and noise reduction strategies adapted to the scenario;

[0047] Energy management module, used to optimize system power consumption distribution;

[0048] The hearing aid terminal module is used to receive the scenario parameters generated by the intelligent processing module through the communication management module and perform real-time sound enhancement and noise reduction processing optimized for the current scenario;

[0049] The communication interaction module is used to realize the interactive control between users and the system.

[0050] Please see the attached Figure 1 , Attachment Figure 2 , Attachment Figure 3 and attached Figure 9The smart earphone compartment module 1 includes a cross-device collaboration unit and a fitting control unit. The cross-device collaboration unit is used to realize automatic connection with the hearing aid terminal when the cover is opened through a preset binding protocol, and synchronize the device status and fitting parameters to the hearing aid terminal; the fitting control unit is used to respond to physical buttons or voice commands to start the fitting process, and manage the storage and call of multi-scene parameters.

[0051] Specifically, the smart earphone compartment module realizes the closed loop of autonomous fitting function through the collaborative work of the cross-device collaboration unit and the fitting control unit: the cross-device collaboration unit adopts a preset binding protocol based on a state machine, and triggers the state transition algorithm when the cover opening action is detected. It automatically completes the connection with the hearing aid terminal and synchronizes the device status and fitting parameters through the message queue mechanism. The fitting control unit generates a fitting trigger signal in response to physical buttons or voice commands, and uses a hash table data structure to manage multi-scene parameters. The parameter storage format is Hash(S)=[G,N], where S is the scene identifier, G is the frequency response compensation matrix, and N is the noise reduction strategy vector. When called, the adaptation parameters are quickly matched through the hash search algorithm [G,N]=Hash(current scene), so that the hearing aid is free from dependence on the mobile phone APP and realizes zero-configuration interaction that connects as soon as the cover is opened.

[0052] Please see the attached Figure 2 , Attachment Figure 5 and attached Figure 9 The environmental perception module includes an acoustic collection unit and a motion detection unit. The acoustic collection unit is used to capture the environmental soundprint characteristics and sound source direction information, and the motion detection unit is used to monitor the user's three-dimensional spatial motion status and height change data.

[0053] Specifically, the acoustic acquisition unit uses a dual-microphone array and calculates the sound source direction based on the generalized cross-correlation GCC algorithm, with the formula τ = argmax τ R x1x2 (τ), where R x1x2 (τ) is the cross-correlation function of the two microphone signals, and the voiceprint feature vector is extracted through the Mel-frequency cepstral coefficient (MFCC). The motion detection unit integrates a three-axis accelerometer and an air pressure sensor, and uses a complementary filtering algorithm to fuse motion data. The attitude angle is calculated as θ = αθ gyro +(1-α)θ acc , where θ gyro is the gyroscope output angle, θ acc The module calculates the angle for the accelerometer, and α is the fusion coefficient. This module provides the intelligent processing module with real-time data on the ambient acoustic characteristics and user motion status. This supports the scene analysis unit's accurate identification of quiet and noisy environments, as well as the parameter generation unit's dynamic adaptation of frequency response compensation and noise reduction strategies, enabling the hearing aid to proactively perceive and respond to complex environments.

[0054] Please see the attached Figure 2 , Attachment Figure 6 and attached Figure 9 The intelligent processing module includes a scene analysis unit and a parameter generation unit. The scene analysis unit is used to identify the environment type based on acoustic characteristics, and the parameter generation unit is used to dynamically calculate the hearing aid frequency response compensation parameters, supporting scene-based parameter matching and adaptive adjustment.

[0055] Specifically, the intelligent processing module realizes environment-adaptive auditory optimization through the collaborative work of the scene analysis unit and the parameter generation unit: the scene analysis unit uses the Gaussian mixture model (GMM) to classify the Mel-frequency cepstral coefficients (MFCC) extracted by the acoustic acquisition unit. The model is expressed as where π k is the mixing coefficient, The Gaussian distribution is used, and the parameters are iteratively optimized by the expectation maximization (EM) algorithm. The parameter generation unit uses the adaptive filtering algorithm to dynamically calculate the frequency response compensation parameter matrix H(f, t) = H0(f) + μ·e(t)·x(f, t) based on the scene recognition results, where H0(f) is the basic compensation curve, μ is the learning rate, e(t) is the error signal, and x(f, t) is the input signal spectrum. The Kalman filtering algorithm is used to achieve smooth parameter transition, and the state update equation is: The measurement update equation is P k =(IK k H)P k-1 , thereby identifying the scene type based on the acoustic feature data of the environmental perception module and generating adaptive frequency response compensation and noise reduction parameters, providing a scenario-based real-time processing strategy for the hearing aid terminal module.

[0056] The scene analysis unit integrates acoustic features and motion data to achieve accurate identification of environment types. The parameter generation unit dynamically calculates multi-band gain compensation curves and noise reduction coefficients based on this. The scene classification model maps the physical environment into standardized scene labels. The parameter calculation engine generates personalized acoustic strategies in real time based on the hearing compensation model. The closed-loop linkage between environment identification and parameter generation enables the hearing aid to actively adapt to changes in complex acoustic scenes, eliminating the switching delay of traditional preset modes. Dynamic frequency response compensation combined with adaptive noise reduction significantly improves speech clarity and listening comfort, achieving precise hearing compensation effects for thousands of people.

[0057] Please see the attached Figure 2 , Attachment Figure 4 and attached Figure 9 The communication management module includes a device interconnection unit and a mobile network unit. The device interconnection unit is used to maintain a low-latency data channel between the earphone compartment and the hearing aid terminal; the mobile network unit is used to realize independent calls, SMS sending and receiving, and cloud data interaction.

[0058] Specifically, a millisecond-level low-latency data channel is established between the earphone compartment and the hearing aid terminal through the device interconnection unit to ensure real-time synchronization of scene parameters and device control response. The mobile network unit integrates cellular communication capabilities to support hearing aids to independently complete calls, text message sending and receiving, and cloud data interaction. The dual-channel architecture realizes seamless coordination of direct communication between devices and wide area network coverage, eliminating the traditional solution's dependence on mobile phones. The embedded network module ensures the reliable transmission of emergency alarm information in an environment without mobile phones, while providing a continuous data link for remote parameter optimization and user feedback.

[0059] Please see the attached Figure 2 , Attachment Figure 8 and attached Figure 9 The communication interaction module includes a voice interaction unit and a safety warning unit. The voice interaction unit is used to parse natural language instructions and provide feedback on operation guidance; the safety warning unit is used to monitor emergency events and trigger location sharing alarms.

[0060] Specifically, the voice interaction unit realizes real-time analysis of natural language commands and operational guidance feedback, allowing non-technical users to control the hearing aid system without obstacles. The safety warning unit continuously monitors falls and active calls for help, and automatically triggers the transmission of emergency alarms with location information. The voice interaction engine converts complex operations into spoken guidance, greatly reducing the user's learning cost. The safety monitoring mechanism integrates multi-sensor data to achieve event response in seconds, and the location sharing function ensures the accurate delivery of rescue information in emergency situations.

[0061] Please see the attached Figure 2 , Attachment Figure 7 and attached Figure 9 The energy management module includes a power consumption control unit and a charging management unit. The power consumption control unit is used to dynamically allocate module energy efficiency according to scene requirements; the charging management unit is used to support wired fast charging and wireless charging protocols.

[0062] Specifically, the power consumption control unit dynamically allocates system energy efficiency resources according to environmental scenarios to achieve refined energy consumption management of functional modules. The charging management unit integrates dual protocol support for wired fast charging and wireless charging to provide flexible power supply solutions. The scenario-driven energy efficiency strategy maximizes battery life while ensuring core functions. The emergency priority power supply mechanism ensures uninterrupted critical services. The multi-mode charging architecture adapts to diverse usage scenarios, significantly improving device availability and user freedom of use, while reducing the operational burden of frequent charging.

[0063] Please see the attached Figure 6 ,The environment types identified by the scene analysis unit include quiet ,scenes, noisy scenes, call scenes and emergency scenes. The ,parameter generation unit outputs independent gain curves and noise reduction ,strategies for different scenarios.

[0064] Specifically, the scene analysis unit extracts environmental acoustic features through Mel-frequency cepstral coefficients and performs scene classification based on the hidden Markov model. The state transition formula is:

[0065] a ij =P(q t =S j |q t-1 =S i );

[0066] in:

[0067] q t represents the hidden state (scene type) at time t, S i ,S j Represents four scene states: quiet, noisy, talking, and emergency. ij From state S i Transfer to S j probability;

[0068] The parameter generation unit dynamically generates gain curves and noise reduction strategies based on the classification results:

[0069] A linear gain function is used for quiet scenes:

[0070] G(f) = k·f;

[0071] Where f is the sound frequency and k is the frequency-dependent gain coefficient

[0072] Implement a nonlinear compression function for noisy scenes:

[0073]

[0074] Where α controls the steepness of the curve, f c is the cutoff frequency

[0075] The beamforming algorithm is activated in the call scenario:

[0076]

[0077] Where θ is the directional angle of the target sound source, d is the microphone array spacing, λ is the wavelength of the sound wave, and M is the number of microphones. This enables millisecond-level parameter adjustment for environmental adaptation, eliminates manual switching delays, and significantly improves speech clarity and noise suppression capabilities in different scenarios.

[0078] Please see the attached Figure 8 The emergency events monitored by the safety warning unit include falls and SOS active calls for help. When an event is triggered, an alarm message containing GPS coordinates will be automatically sent to the preset contact.

[0079] Specifically, the safety warning unit is a key safety component in the hearing aid system. It monitors falls and SOS active calls in real time, and automatically triggers GPS coordinate alarm information to be sent to preset contacts, significantly improving the user's emergency response capabilities and survival probability. Its role and effect are closely integrated with the environmental perception module, intelligent processing module and communication management module of the entire solution to achieve end-to-end closed-loop protection. Fall event detection utilizes the accelerometer and gyroscope data of the environmental perception module and adopts a threshold algorithm based on total acceleration. Combined with the angle change analysis, when a total When the angle difference exceeds 3g and exceeds the preset value, it is judged as a suspected fall, and further optimized by machine learning classifiers such as support vector machines (SVM) to reduce false positives. The SVM decision function Ensure effective distinction between real falls and daily activities such as sitting or walking. At the same time, the SOS event is actively triggered by the user and responds immediately through voice command analysis of the communication interaction module. After the event is confirmed, the intelligent processing module generates emergency scenario parameters, drives the mobile network unit of the communication management module to prioritize resources, and transmits GPS coordinate data with low latency. The user is allowed to manually cancel to prevent false alarms. If not canceled, the alarm is automatically sent to the preset contact via GPRS or SMS protocol. This process adopts energy efficiency optimization strategy to ensure power supply stability.

[0080] Please see the attached Figure 7 , the power consumption control unit performs:

[0081] A scenario-driven energy efficiency strategy: when the scene analysis unit of the intelligent processing module identifies a quiet scene, it shuts down the mobile network unit of the communication management module and reduces the sampling rate of the environment perception module.

[0082] Priority power supply for emergency events. When the safety warning unit of the communication interaction module triggers a fall alarm, the fitting control unit of the smart earphone compartment module 1 and the voice interaction unit of the communication interaction module are forced to shut down to ensure continuous power supply to the mobile network unit of the communication management module.

[0083] Low battery adaptive degradation: when the battery capacity is lower than the critical threshold, only the basic acoustic processing function of the hearing aid terminal module is maintained.

[0084] Specifically, based on the scene recognition result S output by the scene analysis unit of the intelligent processing module, when S = quiet scene, the power consumption control function is executed

[0085] P control =f(mobile network unit,off)×f(environmental perception sampling rate,R 1ow ), where R 1ow is the low sampling rate threshold;

[0086] If the safety warning unit of the communication interaction module detects the acceleration change rate Exceeding the fall thresholda thresh , then start the priority power supply algorithm P priority = Off (fitting control unit) + Off (voice interaction unit) + On (mobile network unit), when the battery capacity E is lower than the critical threshold E crit By degrading the decision function Only the basic functions of the hearing aid terminal are maintained;

[0087] Based on the environmental recognition results of the scene analysis unit of the intelligent processing module, when it is determined to be a quiet scene, the mobile network unit of the communication management module is automatically shut down and the sampling rate of the environmental perception module is reduced to reduce unnecessary power consumption. If the safety warning unit of the communication interaction module triggers a fall alarm, the emergency event priority power supply strategy is immediately executed, and the fitting control unit of the smart earphone compartment module and the voice interaction unit of the communication interaction module are forcibly shut down to ensure that the mobile network unit of the communication management module is continuously powered to maintain emergency alarm transmission. When the battery capacity is lower than the critical threshold, the low-power adaptive degradation mechanism is activated, and only the basic acoustic processing function of the hearing aid terminal module is retained. The core hearing assistance capability is maintained through fixed frequency response compensation and basic noise reduction algorithms, jointly realizing scenario-based power consumption allocation and functional availability guarantee in extreme situations.

[0088] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A hearing aid that supports self-fitting, characterized in that: include: Smart earphone compartment module (1), used to provide device charging and autonomous fitting control; Communication management module, used to establish wireless connection and external network communication; Environmental perception module, used to collect environmental physical signals; The intelligent processing module is used to identify the current environment type and analyze the acoustic characteristics based on the signals collected by the environmental perception module, and generate hearing aid frequency response compensation parameters and noise reduction strategies adapted to the scenario; Energy management module, used to optimize system power consumption distribution; The hearing aid terminal module is used to receive the scenario parameters generated by the intelligent processing module through the communication management module and perform real-time sound enhancement and noise reduction processing optimized for the current scenario; The communication interaction module is used to realize the interactive control between users and the system.

2. The hearing aid supporting autonomous fitting according to claim 1, characterized in that: The smart earphone compartment module (1) comprises a cross-device collaboration unit and a fitting control unit. The cross-device collaboration unit is used to realize automatic connection with the hearing aid terminal when the cover is opened through a preset binding protocol, and synchronize the device status and fitting parameters to the hearing aid terminal; the fitting control unit is used to respond to physical buttons or voice commands to start the fitting process and manage the storage and call of multi-scenario parameters.

3. The hearing aid supporting autonomous fitting according to claim 1, characterized in that: The environmental perception module includes an acoustic collection unit and a motion detection unit. The acoustic collection unit is used to capture environmental soundprint characteristics and sound source direction information, and the motion detection unit is used to monitor the user's three-dimensional spatial motion state and height change data.

4. The hearing aid supporting autonomous fitting according to claim 1, characterized in that: The intelligent processing module includes a scene analysis unit and a parameter generation unit. The scene analysis unit is used to identify the environment type based on acoustic characteristics, and the parameter generation unit is used to dynamically calculate the hearing aid frequency response compensation parameters to support scene-based parameter matching and adaptive adjustment.

5. The hearing aid supporting autonomous fitting according to claim 1, characterized in that: The communication management module includes a device interconnection unit and a mobile network unit. The device interconnection unit is used to maintain a low-latency data channel between the earphone compartment and the hearing aid terminal; the mobile network unit is used to realize independent calls, SMS sending and receiving, and cloud data interaction.

6. The hearing aid supporting autonomous fitting according to claim 1, characterized in that: The communication interaction module includes a voice interaction unit and a safety warning unit. The voice interaction unit is used to parse natural language instructions and provide feedback on operation guidance; the safety warning unit is used to monitor emergency events and trigger location sharing alarms.

7. The hearing aid supporting autonomous fitting according to claim 1, characterized in that: The energy management module includes a power consumption control unit and a charging management unit. The power consumption control unit is used to dynamically allocate module energy efficiency according to scene requirements; the charging management unit is used to support wired fast charging and wireless charging protocols.

8. The hearing aid supporting autonomous fitting according to claim 4, characterized in that: The environment types identified by the scene analysis unit include quiet scenes, noisy scenes, call scenes and emergency scenes, and the parameter generation unit outputs independent gain curves and noise reduction strategies for different scenes.

9. The hearing aid supporting autonomous fitting according to claim 6, characterized in that: The emergency events monitored by the safety warning unit include fall events and SOS active call events. When an event is triggered, an alarm message containing GPS coordinates is automatically sent to a preset contact.

10. The hearing aid supporting autonomous fitting according to claim 7, characterized in that: The power consumption control unit performs: A scenario-driven energy efficiency strategy: when the scene analysis unit of the intelligent processing module identifies a quiet scene, it shuts down the mobile network unit of the communication management module and reduces the sampling rate of the environment perception module. Priority power supply for emergency events: when the safety warning unit of the communication interaction module triggers a fall alarm, the fitting control unit of the smart earphone compartment module (1) and the voice interaction unit of the communication interaction module are forced to shut down, ensuring continuous power supply to the mobile network unit of the communication management module; Low battery adaptive degradation: when the battery capacity is lower than the critical threshold, only the basic acoustic processing function of the hearing aid terminal module is maintained.

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