Improving short utterance based I-vector speaker recognition using source and utterance-duration normalization techniques

Kanagasundaram, Ahilan, Dean, David, Gonzalez-Dominguez, Javier, Sridharan, Sridha, Ramos, Daniel, & Gonzalez-Rodriguez, Joaquin (2013) Improving short utterance based I-vector speaker recognition using source and utterance-duration normalization techniques. In In Proceedings of the 14th Annual Conference of the International Speech Communication Association, International Speech Communication Association (ISCA ), Lyon, France, pp. 2465-2469.

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A significant amount of speech is typically required for speaker verification system development and evaluation, especially in the presence of large intersession variability. This paper introduces a source and utterance duration normalized linear discriminant analysis (SUN-LDA) approaches to compensate session variability in short-utterance i-vector speaker verification systems. Two variations of SUN-LDA are proposed where normalization techniques are used to capture source variation from both short and full-length development i-vectors, one based upon pooling (SUN-LDA-pooled) and the other on concatenation (SUN-LDA-concat) across the duration and source-dependent session variation. Both the SUN-LDA-pooled and SUN-LDA-concat techniques are shown to provide improvement over traditional LDA on NIST 08 truncated 10sec-10sec evaluation conditions, with the highest improvement obtained with the SUN-LDA-concat technique achieving a relative improvement of 8% in EER for mis-matched conditions and over 3% for matched conditions over traditional LDA approaches.

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3 citations in Scopus
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ID Code: 63026
Item Type: Conference Paper
Refereed: Yes
Keywords: Speaker verification, i-vectors
ISSN: 2308-457X
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Past > Institutes > Information Security Institute
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2013 ISCA.
Deposited On: 30 Sep 2013 03:03
Last Modified: 17 Feb 2014 05:41

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