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Creating Clarity in Noisy Environments by Using Deep Learning in Hearing Aids.
Asger Heidemann Andersen1, Sébastien Santurette1, Michael Syskind Pedersen1
1Oticon A/S, Smørum, Denmark.
Seminars in Hearing
|October 1, 2021
Summary
Modern hearing aids use advanced noise reduction algorithms, including deep learning, to improve speech understanding and reduce listening effort. These sophisticated features enhance user benefit when clinicians are well-trained in their application.
Area of Science:
- Audiology and Hearing Aid Technology
- Signal Processing
- Artificial Intelligence in Acoustics
Background:
- Modern hearing aids incorporate advanced sound-processing features beyond basic amplification.
- Effective noise management is crucial for hearing aid benefit in daily listening environments.
- Clinician expertise in hearing aid technologies and fitting is essential for maximizing user benefit.
Purpose of the Study:
- To provide an overview of noise reduction techniques in contemporary hearing aids.
- To compare classical noise reduction methods with emerging deep learning approaches.
- To demonstrate the benefits of advanced algorithms on signal-to-noise ratio, speech intelligibility, and listening effort.
Main Methods:
- Review of classical noise reduction techniques (directional processing, postfiltering) in hearing aids.
- Exploration of deep learning (artificial intelligence) as a novel approach to noise reduction.
- Experimental evaluation of recent algorithmic advances using metrics like signal-to-noise ratio and speech intelligibility.
Main Results:
- Classical techniques form the basis of current noise reduction strategies.
- Deep learning offers a fundamentally different and potentially more effective method for noise problem-solving.
- Experimental results show significant benefits from recent algorithms in improving signal clarity and reducing listening burden.
Conclusions:
- Advanced noise reduction algorithms, particularly those leveraging deep learning, offer substantial improvements in hearing aid performance.
- Understanding and applying these sophisticated technologies is key to unlocking their full potential for users.
- Future hearing aid development will likely see increased integration of AI for enhanced audiological rehabilitation.
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