TY - GEN
T1 - Novel voice activity detection based on vector quantization
AU - Asgari, Meysam
AU - Sayadian, Abolghasem
AU - Tehranipour, Farhad
AU - Mostafavi, Ali
N1 - Copyright:
Copyright 2009 Elsevier B.V., All rights reserved.
PY - 2009
Y1 - 2009
N2 - In this paper we develop a voice activity detection algorithm based on spectrum estimation of speech and non-speech segments using Vector Quantization method. In this method, we try to classify entry speech signal to speech and non-speech classes. Commonly, the performance of the voice activity detection (VAD) algorithms in non-stationary background noise is not so satisfying under low SNR, so we try to concentrate our study on this issue. The model of a non-speech is a codebook generated from noise and model of speech is several codebook generated from speech contaminated by noise in some different SNR. The labeling is performed by evaluating the distortions between the entry signal samples and the designed models. Our simulation results based on the Persian speech database show that the VQ based VAD is high performance in low SNR conditions (SNR < 5 dB).
AB - In this paper we develop a voice activity detection algorithm based on spectrum estimation of speech and non-speech segments using Vector Quantization method. In this method, we try to classify entry speech signal to speech and non-speech classes. Commonly, the performance of the voice activity detection (VAD) algorithms in non-stationary background noise is not so satisfying under low SNR, so we try to concentrate our study on this issue. The model of a non-speech is a codebook generated from noise and model of speech is several codebook generated from speech contaminated by noise in some different SNR. The labeling is performed by evaluating the distortions between the entry signal samples and the designed models. Our simulation results based on the Persian speech database show that the VQ based VAD is high performance in low SNR conditions (SNR < 5 dB).
KW - Vector quantization
KW - Voice activity detection
UR - http://www.scopus.com/inward/record.url?scp=69649091532&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=69649091532&partnerID=8YFLogxK
U2 - 10.1109/UKSIM.2009.125
DO - 10.1109/UKSIM.2009.125
M3 - Conference contribution
AN - SCOPUS:69649091532
SN - 9780769535937
T3 - 11th International Conference on Computer Modelling and Simulation, UKSim 2009
SP - 255
EP - 257
BT - 11th International Conference on Computer Modelling and Simulation, UKSim 2009
T2 - 11th International Conference on Computer Modelling and Simulation, UKSim 2009
Y2 - 25 March 2009 through 27 March 2009
ER -