A new algorithm for voice activity detection based on wavelet transform

Author

Shaojun, Jiang ; Haitao, Guo ; Fuliang, Yin

Author_Institution

Sch. of Electron. & Inf. Eng., Dalian Univ. of Technol., China

fYear

2004

fDate

20-22 Oct. 2004

Firstpage

222

Lastpage

225

Abstract

In this paper, a new algorithm based on the wavelet transform (WT) is proposed for voice activity detection (VAD). It utilizes the difference of the spectral distribution between voice and noise. First, the algorithm performs the wavelet transform to the signal and decomposes it into subbands using the bandpass filtering feature of the WT; then it detects the voice in the signal by comparing the subband energy of the detail components between voice and noise. Computer simulation results are given to illustrate the effectiveness of the new VAD algorithm.

Keywords

band-pass filters; signal detection; spectral analysis; speech processing; wavelet transforms; VAD; bandpass filtering; noise; signal decomposition; spectral distribution; subband energy; voice activity detection; wavelet transform; Continuous wavelet transforms; Discrete wavelet transforms; Filtering algorithms; Frequency; Signal processing algorithms; Signal to noise ratio; Speech coding; Speech processing; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Multimedia, Video and Speech Processing, 2004. Proceedings of 2004 International Symposium on

Print_ISBN

0-7803-8687-6

Type

conf

DOI

10.1109/ISIMP.2004.1434040

Filename

1434040