Voice Activity Detection Using Neurograms

ICASSP, pp. 5524-5528, 2018.

Cited by: 3|Views4
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Abstract:

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

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