NDLI: Weighted LDA techniques for i-vector based speaker verification

Content Provider	IEEE Xplore Digital Library
Author	Kanagasundaram, A. Dean, D. Vogt, R. McLaren, M. Sridharan, S. Mason, M.
Copyright Year	2012
Description	Author affiliation: Speech Research Laboratory, Queensland University of Technology, Australia (Kanagasundaram, A.; Dean, D.; Vogt, R.; Sridharan, S.; Mason, M.) \|\| Centre for Language and Speech Technology, Radboud University Nijmegen, The Netherlands (McLaren, M.)
Abstract	This paper introduces the Weighted Linear Discriminant Analysis (WLDA) technique, based upon the weighted pairwise Fisher criterion, for the purposes of improving i-vector speaker verification in the presence of high inter-session variability. By taking advantage of the speaker discriminative information that is available in the distances between pairs of speakers clustered in the development i-vector space, the WLDA technique is shown to provide an improvement in speaker verification performance over traditional Linear Discriminant Analysis (LDA) approaches. A similar approach is also taken to extend the recently developed Source Normalised LDA (SNLDA) into Weighted SNLDA (WSNLDA) which, similarly, shows an improvement in speaker verification performance in both matched and mismatched enrolment/verification conditions. Based upon the results presented within this paper using the NIST 2008 Speaker Recognition Evaluation dataset, we believe that both WLDA and WSNLDA are viable as replacement techniques to improve the performance of LDA and SNLDA-based i-vector speaker verification.
Starting Page	4781
Ending Page	4784
File Size	99761
Page Count	4
File Format	PDF
ISBN	9781467300452
ISSN	15206149
e-ISBN	9781467300469
e-ISBN	9781467300445
DOI	10.1109/ICASSP.2012.6288988
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-25
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor networks NIST Speech Estimation Vectors Speaker recognition linear discriminant analysis speaker verification i-vector
Content Type	Text
Resource Type	Article

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