Multi-Band Audio Compression for Personalized Hearing Enhancement
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Solution Overview
Problem
Conventional hearing aid processing methods, relying on linear filtering techniques, are inadequate for providing an enhanced audio experience for hearing-impaired individuals, especially when consuming audio content with limited dynamic range, as they fail to effectively address the unique hearing profiles and non-linear nature of human hearing.
Innovation Solution
A method that involves obtaining a user's masking contour curve, deriving a target masking contour curve, and parameterizing a digital compression system to enhance audio signals, allowing for personalized audio processing based on individual hearing profiles, including those with mild, moderate, severe, or profound hearing loss, by using multi-band compression techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If linear filtering techniques (equalization) are used to compensate for hearing loss, then frequency gain can be adjusted according to user's hearing profile, but the method is only applicable to conductive hearing loss and cannot effectively address sensorineural hearing loss or non-linear hearing impairment
Solution Approach 1:
The patent changes the fundamental processing parameter from linear filtering to non-linear compression. By applying compression with different ratios, thresholds, and attack/release times to different frequency bands, the system can effectively process both conductive and sensorineural hearing loss, addressing the limitation of linear equalization techniques.
Solution Approach 2:
The patent divides the audio spectrum into multiple frequency bands and applies independent compression processing to each band. This segmentation allows tailored processing for different frequency regions affected by hearing loss, improving adaptability to various hearing profiles including sensorineural loss.
2Manufacturing precision
If conventional hearing aid processing (wide dynamic range compression) is applied to recorded audio content, then faint sounds can be amplified, but the processing degrades the perceived quality of audio content with already compressed dynamic range
Solution Approach 1:
The patent applies compression selectively and partially to recorded audio content. By using higher thresholds and lower ratios for pre-compressed content compared to live audio, the system provides beneficial processing only where needed (for very faint sounds) while avoiding excessive compression that would degrade overall audio quality.
Solution Approach 2:
The patent implements dynamic processing parameters that adapt to the input signal characteristics. The compression ratio, threshold, and other parameters are adjusted based on whether the content is live audio or recorded audio, and based on the instantaneous dynamic range of the signal, allowing optimal processing without permanent quality degradation.
3Measurement precision
If linear equalization is used for sound personalization, then frequency response can be corrected, but the approach fails to account for the non-linear nature of human auditory system and hearing impairment
Solution Approach 1:
The patent transitions from linear parameter adjustment (equalization gains) to non-linear parameter control (compression ratios, thresholds, and curves). This allows the system to model and compensate for the non-linear characteristics of hearing impairment, including threshold shifts and recruitment, providing more accurate sound personalization.
4Manufacturing precision
If digital compression system is parameterized based on masking contour curves, then audio signal can be enhanced according to user's specific hearing abilities, but the system complexity increases compared to simple equalization
Solution Approach 1:
The patent performs preliminary analysis to obtain the user's masking contour curve and derives compression parameters in advance. This pre-processing step allows the complex compression system to be configured once based on hearing profile measurements, after which the enhanced processing can be applied without real-time complexity during audio playback.
Data Source
AI summary
A method of enhancing an audio signal from an audio output device is provided. For a frequency band, a user masking contour curve covering at least a part of said frequency band is obtained, a target masking contour curve is derived from the user masking contour curve, and a multi-band digital compression system is parameterized based on the sound level of the target masking contour curve at a given frequency and the sound level of the user masking contour curve at the same given frequency. The obtained parameters are outputted to provide an enhanced audio signal.


