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The introduction of Gaussian mixture models (GMMs) in the field of speaker verification has led to very good results. This paper illustrates an evolution in state-of-the-art speaker verification by highlighting the contribution of recently established information theoretic based vector quantization technique. We explore the novel application of three different vector quantization algorithms, namely...
This study investigates effects of a clinical environment on speaker recognition rates. Two sets of speakers were used: a clinical set containing speech recordings of 70 clinically depressed speakers and a control set containing 68 non-depressed speakers. MFCC characteristic features were used to produce statistical models of speakers using four modeling methods: GMM_EM, GMM_K-means, GMM_LBG, and...
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