A robust low complexity voice activity detection algorithm for speech communication systems

Author

Benyassine, A. ; Shlomot, Eyal ; Su, Huan-yu ; Yuen, Eric

Author_Institution

Rockwell Int. Corp., Newport Beach, CA, USA

fYear

1997

fDate

7-10 Sep 1997

Firstpage

97

Lastpage

98

Abstract

We present a robust voice activity detection algorithm which enables further bit rate reduction for practical speech communication systems. The voice activity decision is based on a set of energy and spectral measures. The local frame measures are compared to a long term estimation of the noise. The voice activity decision is obtained using a pattern recognition approach with additional decision smoothing. This algorithm was adopted as part of Annex B for the ITU Recommendation G.729

Keywords

adaptive estimation; code standards; noise; pattern recognition; signal detection; spectral analysis; speech coding; speech processing; telecommunication standards; voice communication; Annex B; ITU Recommendation G.729; adaptive noise estimation; decision smoothing; energy measures; local frame measures; long term noise estimation; low complexity voice activity detection algorithm; objective performance test; pattern recognition; robust algorithm; spectral measures; speech communication systems; voice activity decision; Background noise; Bit rate; Detection algorithms; Distortion measurement; Energy measurement; Noise generators; Noise measurement; Oral communication; Robustness; Speech;

fLanguage

English

Publisher

ieee

Conference_Titel

Speech Coding For Telecommunications Proceeding, 1997, 1997 IEEE Workshop on

Conference_Location

Pocono Manor, PA

Print_ISBN

0-7803-4073-6

Type

conf

DOI

10.1109/SCFT.1997.623914

Filename

623914