Title :
Voice Activity Detection in Non-stationary Noise
Author :
Li Ye ; Wang Tong ; Cui Huijuan ; Tang Kun
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing
Abstract :
Existing voice activity detection algorithms degraded severely in low SNR or in non-stationary noise environment. This paper proposes a new fusion method in such environment. The method is based on the fusion of the SNR for selected sub-bands of the input speech and this fusion is implemented through a specific function called SAF (sum of activation function). The results show that the algorithm could give reliable voice activity detection result in low SNR and even in the presence of non-stationary noise
Keywords :
noise; speech recognition; nonstationary noise; speech recognition; sum of activation function; voice activity detection; 1f noise; Detection algorithms; Electronic mail; Frequency; Signal to noise ratio; Speech enhancement; Speech recognition; Systems engineering and theory; Vocoders; Working environment noise; Voice activity detection; speech recognition; vocoder;
Conference_Titel :
Computational Engineering in Systems Applications, IMACS Multiconference on
Conference_Location :
Beijing
Print_ISBN :
7-302-13922-9
Electronic_ISBN :
7-900718-14-1
DOI :
10.1109/CESA.2006.313564
