Speech Waveform Compression Using Robust Adaptive Voice Activity Detection for Nonstationary Noise in Multimedia Communications

Abstract

The voice activity detection (VAD) is crucial in all kinds of speech applications. However, almost all existing VAD algorithms suffer from the nonstationarity of both speech and noise. To combat this difficulty, we propose a new voice activity detector, which is based on the Mel-energy features and an adaptive threshold related to the signal-to-noise ratio… (More)
DOI: 10.1109/GLOCOM.2007.586

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