DocumentCode
3528352
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
fYear
2006
fDate
4-6 Oct. 2006
Firstpage
1573
Lastpage
1575
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CESA.2006.313564
Filename
4105630
Link To Document