Hearing Aid Self-Voice Recognition Threshold
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Solution Overview
Problem
Existing hearing aid technologies struggle to reliably distinguish between the wearer's own voice and other noises, leading to suboptimal operation and increased error rates in self-voice recognition.
Innovation Solution
A method for operating a hearing aid that sets a user-dependent threshold value for self-voice recognition, using a calibration procedure to generate individual feature values, and adjusts the threshold based on the user's environment and noise level, enabling accurate differentiation between the wearer's voice and other sounds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed threshold value is used for self-voice recognition, then the device complexity is reduced, but the reliability of voice detection deteriorates due to increased error rates
Solution Approach 1:
The patent applies preliminary action by performing a calibration procedure before normal operation, where the hearing aid records the user's voice characteristics and determines an individualized threshold value. This pre-established threshold is then used during actual self-voice recognition, eliminating the need for complex real-time adjustments while maintaining high reliability through user-specific optimization.
2Ease of operation
If a fixed threshold value is used for self-voice recognition, then the ease of operation is improved, but the measurement precision of voice detection deteriorates
Solution Approach 1:
The patent implements self-service by enabling the hearing aid to automatically perform calibration and determine the optimal threshold value for each individual user without requiring manual adjustment. The device independently records voice samples, analyzes characteristics, and sets the threshold, thereby maintaining ease of operation while achieving high detection precision through personalized calibration.
3Reliability
If individual calibration is performed for each user, then the reliability of self-voice recognition is improved, but the loss of time during setup increases
Solution Approach 1:
The patent applies partial action by performing calibration with a limited set of voice samples rather than requiring extensive recording sessions. The system determines the individual threshold using a sufficient but not excessive number of recordings, thereby achieving reliable self-voice recognition while minimizing the time investment required during the calibration phase.
Data Source
Figure 1~2
Figure 3
AI summary
The invention relates to a method for operating a hearing aid (2), wherein a sound is recorded by means of a microphone (4), the sound is analyzed with regard to its correspondence with the hearing aid wearer's own voice, and a feature value (M) is generated which indicates how closely the sound corresponds to the hearing aid wearer's own voice, wherein the wearer's own voice is a sound type (G1), wherein the feature value (M) is compared with a threshold value (S), wherein the sound is recognized as the wearer's own voice depending on whether the feature value (M) is above or below the threshold value (S), and wherein the hearing aid (2) is switched between several operating modes depending on whether the sound has been recognized as the wearer's own voice. The method is characterized in that the threshold value (S) is set according to the user.This results in improved voice recognition (10) which distinguishes the hearing aid wearer's own voice particularly reliably from another type of noise (G2). The invention further relates to a hearing aid (2) with corresponding voice recognition (10).