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Evaluation of array-processing algorithms for a headband hearing aid
Julie E Greenberg1, Joseph G Desloge, Patrick M Zurek
1Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA. jgreenbe@mit.edu
The Journal of the Acoustical Society of America
|March 27, 2003
Summary
Adaptive microphone arrays significantly improve speech reception for hearing aid users. These advanced hearing aid technologies offer better sound clarity in noisy environments, enhancing daily communication.
Area of Science:
- Audiology
- Signal Processing
- Acoustics
Background:
- Hearing aids often struggle to isolate speech in noisy environments.
- Existing directional microphone systems offer limited noise reduction capabilities.
Purpose of the Study:
- To evaluate the effectiveness of various array-processing algorithms for hearing aids.
- To compare adaptive and fixed array algorithms against a binaural directional microphone reference.
Main Methods:
- Implementation and evaluation of two adaptive and one fixed array-processing algorithm.
- Testing with experienced hearing aid users in conditions with one and three noise sources.
- Measurement of speech reception thresholds and subjective ease-of-listening ratings.
Main Results:
- The fixed algorithm improved speech reception thresholds by 2 dB.
- Adaptive algorithms yielded a 7-9 dB improvement over the reference condition.
- Subjects generally preferred all array-processing algorithms for ease-of-listening.
Conclusions:
- Adaptive array-processing algorithms show significant potential for enhancing hearing aid performance.
- Further evaluation in realistic acoustic environments is recommended for these adaptive algorithms.