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Compensation of channel effects for support vector machines based speaker verification

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2 Author(s)
Cemal Hanilçi ; Elektronik Mühendisliği Bölümü, Uludağ Üniversitesi, Turkey ; Figen Ertaş

In this paper, we analyze the effect of channel compensation technique on support vector machines (SVM) based speaker verification performance and compare with another well-known speaker modeling algorithm Gaussian Mixture Models with universal background model (GMM-UBM). Experiments conducted on NIST 2002 SRE shows that channel compensation considerable improves the speaker verification accuracy.

Published in:

2012 20th Signal Processing and Communications Applications Conference (SIU)

Date of Conference:

18-20 April 2012