DiSS-LPSS Joint Workshop 2010
The 5th Workshop on Disfluency in Spontaneous Speech
This paper shows the voice activity detection (VAD) based on combination of weighted sub-band features using autocorrelation function. According to the fact that the noise corruption on each sub-band is different from each other, so the estimated signal to noise ratio (SNR) is employed to weight utility rate of each frequency sub-band. Furthermore, a strategy of sub-band features combination is used to integrate all of weighted sub-band auto-correlation function feature parameter and to develop the combined feature parameter. Experimental results demonstrate that the proposed VAD achieves better performance than existing standard VADs at any noise level.
Index Terms. voice activity detection, auto-correlation, wavelet packet transform, sub-band weighting, feature combination
Bibliographic reference. Wang, Kun-Ching / Chin, Chiun-Li / Tsai, Yi-Hsing (2010): "Voice activity detection based on combination of weighted sub-band features using auto-correlation function", In DiSS-LPSS-2010, 85-88.