NDLI: Factor analysis based spatial correlation modeling for speaker verification

Content Provider	IEEE Xplore Digital Library
Author	Er-Yu Wang Wu Guo Li-Rong Dai Kong-Aik Lee Bin Ma Hai-Zhou Li
Copyright Year	2010
Description	Author affiliation: Human Language Technology Department, Institute for Infocomm Research, A*STAR, Singapore (Kong-Aik Lee; Bin Ma; Hai-Zhou Li) \|\| iFly Speech Lab, University of Science and Technology of China, Hefei, China (Er-Yu Wang; Wu Guo; Li-Rong Dai)
Abstract	Gaussian mixture models (GMMs) are commonly used in text-independent speaker verification for modeling the spectral distribution of speech. Recent studies have shown the effectiveness of characterizing speaker information using the mean super-vector obtained by concatenating the mean vectors of the GMM. This paper proposes to use the spatial correlation captured by the covariance matrix of the mean super-vector for speaker verification. Factor analysis method is adopted to estimate the covariance of the super-vector. For measuring the similarity between speech utterances in terms of the spatial correlation, we propose two kernel metrics, namely, log-Euclidean inner product and Frobenius angle. For computational simplicity, we introduce an inner product classifier (IPC) with equivalent performance compared to the commonly used support vector machine (SVM). Experiments conducted on the 2006 NIST speaker recognition evaluation (SRE) dataset confirm the efficacy of the proposed factor analysis based spatial modeling technique.
Starting Page	166
Ending Page	170
File Size	115026
Page Count	5
File Format	PDF
ISBN	9781424462445
e-ISBN	9781424462469
DOI	10.1109/ISCSLP.2010.5684490
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-29
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Measurement factor analysis Correlation Loading Frobenius angle Speech Covariance matrix Kernel log-Euclidean distance inner product classifier
Content Type	Text
Resource Type	Article

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