Comparison of scoring methods used in speaker recognition with Joint Factor Analysis

The aim of this paper is to compare different log-likelihood scoring methods, that different sites used in the latest state-of-the-art joint factor analysis (JFA) speaker recognition systems. The algorithms use various assumptions and have been derived from various approximations of the objective fu...

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Bibliographic Details
Published in2009 IEEE International Conference on Acoustics, Speech and Signal Processing pp. 4057 - 4060
Main Authors Glembek, O., Burget, L., Dehak, N., Brummer, N., Kenny, P.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2009
Subjects
Africa
Covariance matrix
Distributed computing
fast scoring
Gaussian distribution
GMM
Information analysis
Information technology
joint factor analysis
Performance loss
Speaker recognition
Speech analysis
Testing
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Summary:The aim of this paper is to compare different log-likelihood scoring methods, that different sites used in the latest state-of-the-art joint factor analysis (JFA) speaker recognition systems. The algorithms use various assumptions and have been derived from various approximations of the objective functions of JFA. We compare the techniques in terms of speed and performance. We show, that approximations of the true log-likelihood ratio (LLR) may lead to significant speedup without any loss in performance.
ISBN:9781424423538
1424423538
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2009.4960519