Hearing Aid Signal Processing Circuitry for Automatic SNR Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Hearing assistance devices face challenges in automatically optimizing the signal-to-noise ratio (SNR) for users, as existing methods require manual gain adjustments and do not account for individual hearing deficits or varying environmental noise levels, leading to suboptimal listening experiences.
Innovation Solution
The implementation of processing circuitry that automatically adjusts the gain of input signals from multiple audio source components, such as telecoils, wireless receivers, and microphones, based on measured noise levels to maintain a preferred SNR, using a formula that calculates the necessary gain as SNRpreferred−S+N, where S and N are the signal and noise levels, and SNRpreferred is a linear or polynomial function of the noise level.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual gain adjustments are used in hearing assistance devices, then device complexity is reduced, but the ability to automatically optimize signal-to-noise ratio deteriorates
Solution Approach 1:
The hearing assistance device automatically measures noise levels, calculates required gain adjustments, and applies filtering without user intervention. The system serves itself by autonomously optimizing the signal-to-noise ratio based on environmental conditions and user-specific hearing deficits, eliminating the need for manual gain adjustments while maintaining manageable device complexity through integrated processing circuitry.
2Ease of operation
If generic gain settings are used without accounting for individual hearing deficits, then ease of operation is improved, but the effectiveness of noise compensation deteriorates
Solution Approach 1:
The device applies different filtering characteristics to different frequency bands based on the user's specific hearing deficits. The processing circuitry uses the user's audiogram data to determine frequency-specific gain adjustments and filtering parameters, ensuring that noise compensation is tailored to the individual's hearing profile rather than applying uniform generic settings across all frequencies.
3Device complexity
If fixed filtering characteristics are used, then device complexity is reduced, but adaptability to varying noise levels deteriorates
Solution Approach 1:
The hearing assistance device dynamically adjusts filtering characteristics in real-time based on measured noise levels. The processing circuitry continuously monitors the acoustic environment, determines the dominant noise level, and automatically modifies the filtering parameters and gain settings accordingly. This dynamic adaptation allows the device to effectively handle varying noise conditions without requiring multiple fixed filtering programs or complex user intervention.
Data Source
AI summary
Described herein are methods and devices for mixing input signals from multiple audio input sources in a hearing device such as a hearing aid. In one embodiment, a gain is applied to a telecoil signal where the gain is computed so as to depend on the level of a microphone signal. The technique does not depend on the user's audiogram and allows control of the gain for all environments with one adjustment.