Hearing Aid Signal Processing Adaptation
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Solution Overview
Problem
Existing hearing aid signal processing methods fail to adaptively match signal processing to specific hearing situations, leading to suboptimal performance in varying acoustic environments, particularly in noisy conditions and limited dynamic range scenarios.
Innovation Solution
A method involving parallel processing of input signals using a first and second processing algorithm, with classification to determine a mixture ratio for forming the output signal, allowing regulation of compression, gain, and time constants based on the hearing situation, incorporating both broadband and narrowband level measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single processing algorithm is used in the hearing aid, then the device complexity is low, but the adaptability to different acoustic situations is poor
Solution Approach 1:
The signal processing is divided into multiple parallel algorithms (first processing algorithm and second processing algorithm), each optimized for different acoustic situations. The classification device segments the input signal into different sound classes, and each processing algorithm processes the signal independently according to its characteristics, resolving the contradiction by making the system adaptable without requiring one complex algorithm to handle all situations.
Solution Approach 2:
The hearing aid dynamically switches between different processing algorithms based on the classified sound class. The mixture ratio between the first and second intermediate signals is dynamically adjusted according to the classification result, allowing the system to adapt its processing characteristics in real-time to match the current acoustic situation while maintaining manageable complexity through modular algorithm design.
2Adaptability or versatility
If parallel processing with multiple algorithms is used, then the adaptability to different acoustic situations is improved, but the device complexity increases
Solution Approach 1:
The outputs of the first and second processing algorithms are merged through a mixing operation that combines the first intermediate signal and the second intermediate signal using a dynamically adjusted mixture ratio. This merging operation allows the system to achieve situation-dependent adaptability while keeping the overall structure integrated and manageable, rather than requiring completely separate processing paths for each algorithm.
Solution Approach 2:
The classification device serves multiple functions: it classifies the input signal into sound classes, determines the appropriate mixture ratio, and controls the switching between different processing algorithms. This multi-functionality reduces the need for separate control mechanisms for each algorithm, thereby managing device complexity while maintaining high adaptability.
3Reliability
If compression and regulation are applied, then speech understanding in noisy environments is improved, but the naturalness of music listening deteriorates
Solution Approach 1:
Different processing algorithms are applied to different sound classes based on their local characteristics. The first processing algorithm with compression and regulation is applied to speech-dominated sound classes where speech understanding is critical, while the second processing algorithm with more linear characteristics is applied to music-dominated sound classes where signal naturalness is prioritized. This local quality approach ensures that compression benefits are applied only where needed without degrading music listening quality.
Data Source
AI summary
A method for signal processing for a hearing aid aims to better match signal processing for a hearing aid and in particular a hearing device to a situation and includes processing an input signal in accordance with a first processing algorithm to form a first intermediate signal and processing the input signal in accordance with a second processing algorithm to form a second intermediate signal in parallel with the processing of the input signal in accordance with the first processing algorithm. The input signal is classified by a classifier. Finally, an output signal with a constant mixture ratio is formed both from the first and from the second intermediate signals, taking into account the result of the classification. This allows the advantages of a plurality of algorithms to be used at the same time. A corresponding hearing aid is also provided.