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Analysis of compressive properties of the BioAid hearing aid algorithm
Nicholas R Clark1, Wendy Lecluyse2, Tim Jürgens3
1a Mimi Hearing Technologies GmbH , Berlin , Germany.
International Journal of Audiology
|September 26, 2017
Summary
This study presents a novel hearing aid algorithm inspired by the human auditory system. It features adaptive linearisation and onset marking, offering potential benefits for hearing-impaired individuals.
Area of Science:
- Auditory Neuroscience
- Biomedical Engineering
- Signal Processing
Background:
- The peripheral auditory system exhibits complex compression and feedback mechanisms.
- Existing hearing aid algorithms may not fully replicate biological auditory processing.
Purpose of the Study:
- To develop a biologically inspired hearing aid algorithm.
- To simulate key features of the peripheral auditory system, including basilar membrane compression and efferent feedback.
Main Methods:
- The algorithm's core involves instantaneous compression integrated with feedback compression processes.
- Input/output functions were analyzed for various stationary sound levels.
- Responses to transient sinusoidal tone complexes were evaluated and compared to a reference dynamic compressor.
Main Results:
- The algorithm demonstrated adaptive linearisation, adjusting its input/output function based on average sound levels.
- It effectively marked onsets of transient signals across both time and frequency domains.
Conclusions:
- The algorithm's adaptive linearisation and onset marking offer potentially significant advantages for hearing-impaired listeners.
- This biologically inspired approach provides a novel perspective on hearing aid amplification technology.

