DocumentCode :
547180
Title :
Voice activity detection G729B improvement technique using K-Nearest Neighbor method
Author :
Wibowo, Suryo Adhi ; Usman, Koredianto
Author_Institution :
Fac. of Electr. & Commun. Eng., Inst. Teknol. Telkom, Bandung, Indonesia
fYear :
2010
fDate :
2-3 Aug. 2010
Firstpage :
1
Lastpage :
5
Abstract :
ITU-T G.729B describes about Discontinuous Transmission (DTX) in the system. Discontinuous Transmission (DTX) is known as a transmission method that transmits a few bits of voice under influenced of background noise or un-voiced signal. This characteristic gives advantageous in voice activity detection to classify signal. In this paper we improve the performance of voice activity detection G729B using K-Nearest Neighbor method for voice or unvoiced classification. Computer simulations showed that this method has performance better than the original VAD G729B in all tested noise conditions.
Keywords :
signal classification; speech processing; voice communication; DTX method; background noise; computer simulation; discontinuous transmission method; k-nearest neighbor method; unvoiced classification; unvoiced signal; voice activity detection G729B improvement technique; voice classification; Equations; Mathematical model; Multimedia communication; Noise measurement; Signal to noise ratio; Speech; Classification; Discontinuous Transmission; K-Nearest Neighbor; VAD G729B;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Framework and Applications (DFmA), 2010 International Conference on
Conference_Location :
Yogyakarta
Print_ISBN :
978-1-4244-9335-7
Type :
conf
Filename :
5952339
Link To Document :
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