Title :
Two Schemes for Automatic Speaker Recognition over VOIP
Author :
Dan, Qu ; Honggang, Yan ; Hui, Tang ; Bingxi, Wang
Author_Institution :
Dept. of Signal Analyzing & Eng., Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou
Abstract :
The paper presents the two schemes of Automatic speaker recognition (ASR) over VOIP including speaker recognition based on decoded codec parameters and compressed packet stream over VoIP. For ASR based on decoded codec parameters, the optimal feature selection using VoIP codec parameters is introduced. For ASR based on compressed bit stream, the paper presents two approaches for compressed speaker recognition respectively based on the Probabilistic Stochastic Histogram algorithm including Vector Quantization Probabilistic Stochastic Histogram (VQPSH) algorithm and Gaussian Mixture Model Probabilistic Stochastic Histogram (GMMPSH). The Two schemes for speaker recognition is test using G.729, G.723.1 6.3K, G723.15.3K compressed bit stream. The experimental results show whether two schemes are very effective for automatic speaker recognition over VOIP.
Keywords :
Gaussian processes; Internet telephony; feature extraction; probability; speaker recognition; speech coding; vector quantisation; Gaussian mixture model probabilistic stochastic histogram algorithm; VoIP decoded codec parameter; automatic speaker recognition; optimal feature selection; packet stream compression; vector quantization probabilistic stochastic histogram algorithm; Automatic speech recognition; Bit rate; Codecs; Decoding; Histograms; Internet telephony; Interpolation; Speaker recognition; Stochastic processes; Vector quantization; Automatic; Speaker Recognition; VOIP;
Conference_Titel :
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3490-9
DOI :
10.1109/PACIIA.2008.224
