Voice Activity Detection Using Neurograms
ICASSP, pp. 5524-5528, 2018.
Existing acoustic-signal-based algorithms for Voice Activity Detection (VAD) do not perform well in the presence of noise. In this study, we propose a method to improve VAD accuracy by employing another type of signal representation which is derived from the response of the human Auditory-Nerve (AN) system. The neural responses referred t...More
Full Text (Upload PDF)
PPT (Upload PPT)