DocumentCode :
1721542
Title :
The Effect of GMM Order and CMS on Speaker Recognition with Reverberant Speech
Author :
Shabtai, Noam R. ; Zigel, Yaniv ; Rafaely, Boaz
Author_Institution :
Dept. of Electr. & Comput. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva
fYear :
2008
Firstpage :
144
Lastpage :
147
Abstract :
Speaker recognition is used today in a wide range of applications. The presence of reverberation, in hands-free systems for example, results in performance degradation. The effect of reverberation on the feature vectors and its relation to optimal GMM order are investigated. Optimal model order is calculated in terms of minimum BIC and KIC, and tested for EER of a GMM-based speaker recognition system. Experimental results show that for high reverberation time, reducing model order reduces EER values of speaker recognition. The effect of CMS on state of the art GMM and AGMM-based speaker recognition systems is investigated for reverberant speech. Results show that high reverberation time reduces the effectiveness of CMS.
Keywords :
Bayes methods; Gaussian processes; adaptive signal processing; cepstral analysis; error statistics; reverberation; speaker recognition; Bayesian information criterion; GMM order; Kullback information criterion; adaptive Gaussian mixture model; cepstral mean subtraction; equal error rate; hands-free system; reverberant speech; speaker recognition; Biomedical engineering; Cepstral analysis; Collision mitigation; Degradation; Feature extraction; Microphone arrays; Reverberation; Speaker recognition; Speech; System testing; Gaussian mixture model; Speaker recognition; cepstral mean subtraction; model order; reverberation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hands-Free Speech Communication and Microphone Arrays, 2008. HSCMA 2008
Conference_Location :
Trento
Print_ISBN :
978-1-4244-2337-8
Electronic_ISBN :
978-1-4244-2338-5
Type :
conf
DOI :
10.1109/HSCMA.2008.4538707
Filename :
4538707
Link To Document :
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