TIGP (SNHCC) -- Cochlear Implant Signal Processing and Deep Learning
- LecturerDr. Enoch Hsin-Ho Huang (Research Center for Information Technology Innovation, Academia Sinica)
Host: TIGP (SNHCC) - Time2024-03-04 (Mon.) 14:00 ~ 16:00
- LocationAuditorium 106 at IIS new Building
Abstract
The cochlear implant (CI) is a remarkable invention in biomedical engineering. It has transformed the lives of over one million individuals by utilizing electric current stimulation to restore the sense of hearing. The signal processing of the CI, especially the core section called sound coding strategy, has continuously been innovated over decades to improve remaining challenges in CI listening. Recently, deep learning has been applied to CI signal processing many aspects. Our study demonstrated the potential feasibility of using deep learning to replace a conventional sound coding strategy. With the advances of artificial intelligence, the innovation of CI signal processing is an ongoing journey to positively impact the lives of many individuals.
BIO
Enoch H. Huang received a Ph.D. degree in Electrical Engineering from National Central University (NCU) in 2023. He is currently a Postdoctoral Scholar at the Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan. He has experience in software development in the LCD display industry before pursuing his doctoral degree. His research interests include speech processing and hearing assistive devices, especially cochlear implants.