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Hearing Aid Technology to Improve Speech Intelligibility in Noise
1Department of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, Indiana.
Seminars in Hearing
|October 1, 2021
Summary
Hearing aids struggle with speech-in-noise challenges. This issue explores advanced technologies like machine learning and directional microphones to improve hearing aid performance in noisy environments.
Area of Science:
- Audiology
- Hearing Science
- Engineering
Background:
- Speech-in-noise perception is challenging for normal-hearing individuals and significantly more so for those with hearing loss.
- Difficulty understanding speech in noise is a primary driver for seeking hearing assistance, yet many hearing aid users continue to struggle despite amplification.
- Hearing aid manufacturers are developing advanced solutions, but understanding and implementing these technologies involves complex tradeoffs.
Purpose of the Study:
- To educate audiology, hearing science, and engineering professionals and students on advanced technologies for overcoming speech-in-noise difficulties.
- To provide insights into various technological approaches used in hearing aids to combat environmental and wind noise.
- To bridge the communication gap between technological development and clinical application of hearing aid solutions.
Main Methods:
- Exploration of technologies including classification, directional microphones, binaural signal processing, beamformers, and motion sensors.
- Discussion of machine learning applications in enhancing hearing aid performance for speech understanding in noise.
- Insights from leading researchers and engineers from major hearing aid manufacturers.
Main Results:
- This issue presents a comprehensive overview of cutting-edge hearing aid technologies designed to improve speech intelligibility in noisy environments.
- The contributing experts share in-depth knowledge on the development and implementation of these advanced solutions.
- The content aims to enhance the understanding and application of these technologies by clinicians and researchers.
Conclusions:
- Advanced technologies offer promising solutions for the persistent challenge of understanding speech in noise for hearing aid users.
- Effective implementation and fine-tuning of these technologies require a deeper understanding of their underlying principles and tradeoffs.
- Continued collaboration between researchers, engineers, and clinicians is crucial for optimizing hearing aid technology and improving user outcomes.
Keywords:
beamformersbinaural signal processingclassificationdirectional microphoneshealthablehearablemachine learningmotion sensorsspeech-in-noisewind noiseMore Related Videos
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