Abstract
To improve the accuracy of voice activity detection( VAD) under noisy environments,a VAD algorithm based on Mel frequency cepstrum coefficients( MFCC) distance with an order statistics filter( OSF) is proposed. First,the MFCC for each frame of the signals is extracted.Then,the background noise is estimated using the headmost sixteen frames. Finally,the MFCC cepstrum distance between each frame and the background noise is calculated. An order statistics filter is applied to a sequence of the estimated cepstrum distances to obtain the weighted cepstrum distance of each frame. The speech /non-speech classification is based on the weighted cepstrum distance. The experimental analysis carried out on the TIMIT speech corpus shows that the proposed algorithm is effective under white noise,pink noise,car noise,and fighter noise conditions even at low ratio of signal to noise.
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