A robust voice activity detection based on wavelet transform

Author

Aghajani, Kh. ; Manzuri, M.T. ; Karami, M. ; tayebi, H.

Author_Institution

Comput. Dept., Sharif Univ. of Technol., Tehran

fYear

2008

fDate

25-26 March 2008

Firstpage

1

Lastpage

5

Abstract

Voice activity detection is an important step in some speech processing systems, such as speech recognition, speech enhancement, noise estimation, speech compression ... etc. In this paper a new voice activity detection algorithm based on wavelet transform is proposed. In this algorithm we use the energy in each sub band, and by two methods we extract feature vector from these values. Experimental results demonstrate advantage over different VAD methods.

Keywords

data compression; feature extraction; speech coding; speech enhancement; speech recognition; wavelet transforms; feature extraction vector; noise estimation; robust voice activity detection; speech compression; speech enhancement; speech processing systems; speech recognition; wavelet transform; Acoustic noise; Change detection algorithms; Feature extraction; Hidden Markov models; Linear predictive coding; Robustness; Speech enhancement; Speech processing; Speech recognition; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering, 2008. ICEE 2008. Second International Conference on

Conference_Location

Lahore

Print_ISBN

978-1-4244-2292-0

Electronic_ISBN

978-1-4244-2293-7

Type

conf

DOI

10.1109/ICEE.2008.4553895

Filename

4553895