Real-Time Classification Of Sound Type To Improve Hearing Devices In Various Noise Environments
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About The Author

Nasser Kehtarnavaz is an Erik Jonsson Distinguished Professor at the University of Texas at Dallas, Richardson, TX, and Editor-in-Chief of Springer Journal of Real-Time Image Processing. His research and educational contributions are in the areas of signal and image processing, real-time implementation on embedded processors, machine learning, and biomedical image analysis. He has published over 10 books and numerous technical articles in these areas. He has pioneered and introduced several novel approaches addressing practical implementation aspects of signal processing concepts. In his latest contribution, he has introduced a mobile and open platform approach based on smartphones for signal processing and signals and systems laboratory courses. Dr. Kehtarnavaz is a Fellow of IEEE, a Fellow of SPIE, and a licensed Professional Engineer.

                       

Real-Time Classification Of Sound Type To Improve Hearing Devices In Various Noise Environments

Over 5% of the world’s population or 360 million people have some sort of hearing loss . One way that hearing loss is dealt with is by using hearing improvement devices such as hearing aids and cochlear implants. It is well established that the presence of background noise significantly diminishes the hearing ability of users of these devices. For this reason, modern hearing aids and cochlear implants incorporate a noise reduction module as part of their signal processing pipeline running...

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