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Published on: August 4, 2023
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A multi-band environment-adaptive approach to noise suppression for cochlear implants
Summary
This study enhances cochlear implant speech processing with a new multi-band noise suppression method. This approach improves speech quality by approximately 10% in various noisy environments.
Area of Science:
- Audiology
- Signal Processing
- Biomedical Engineering
Background:
- Cochlear implants aim to restore hearing but are sensitive to background noise.
- Existing noise suppression methods in cochlear implant pipelines can be limited.
Purpose of the Study:
- To develop and evaluate an improved environment-adaptive noise suppression solution for cochlear implant speech processing.
- To compare a multi-band data-driven approach against a single-band approach.
Main Methods:
- A multi-band data-driven noise suppression algorithm was developed.
- The algorithm was tested in seven common noisy environments: street, car, restaurant, mall, bus, pub, and train.
- Speech quality measures were used to quantify performance.
Main Results:
- The multi-band approach demonstrated superior performance compared to the single-band method.
- An approximate 10% improvement in speech quality measures was observed across the tested environments.
Conclusions:
- The proposed multi-band environment-adaptive noise suppression significantly enhances speech processing for cochlear implant users.
- This advancement offers a more robust solution for improving speech intelligibility in diverse noisy conditions.
