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Multirate Audiometric Filter Bank for Hearing Aid Devices.
Alice Sokolova1,2, Dhiman Sengupta3, Kuan-Lin Chen1
1Department of Electrical and Computer Engineering, UC San Diego, La Jolla, CA, USA.
Conference Record. Asilomar Conference on Signals, Systems & Computers
|April 4, 2022
Summary
This study introduces a new real-time filter bank for hearing aids, significantly reducing processing complexity. This innovation aims to improve hearing aid design by efficiently separating audio signals into frequency bands.
Area of Science:
- Auditory signal processing
- Hearing aid technology
- Digital signal processing
Background:
- Hearing loss is frequency-dependent, complicating hearing aid design.
- Sub-band decomposition is crucial for compensating unique hearing loss patterns.
- Existing methods face challenges in real-time processing and complexity.
Purpose of the Study:
- To present a novel real-time filter bank for hearing aid applications.
- To address the computational complexity associated with sub-band decomposition.
- To enhance the efficiency of audio signal processing in hearing aids.
Main Methods:
- Developed a 10-channel filter bank with uniform logarithmic spacing.
- Utilized multi-rate signal processing to achieve narrow lower-frequency passbands.
- Implemented the filter bank on the Open Speech Platform.
Main Results:
- Achieved a 9.1× reduction in computational complexity compared to conventional methods.
- Confirmed real-time operational capability of the developed filter bank.
- Filters are positioned at standard audiometric frequencies for practical fitting.
Conclusions:
- The proposed real-time filter bank offers a significant advancement in hearing aid signal processing.
- Reduced complexity and confirmed real-time performance make it suitable for practical hearing aid implementation.
- This technology has the potential to improve the effectiveness and efficiency of hearing aid devices.
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