Title :
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
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;
Conference_Titel :
Speech Coding For Telecommunications Proceeding, 1997, 1997 IEEE Workshop on
Conference_Location :
Pocono Manor, PA
Print_ISBN :
0-7803-4073-6
DOI :
10.1109/SCFT.1997.623914
