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Information based speaker verification
Sch. of Comput., Univ. of Canberra, ACT, Australia.ORCID iD: 0000-0002-4255-5130
Sch. of Comput., Univ. of Canberra, ACT, Australia.
2000 (English)Conference paper (Refereed)Text
Abstract [en]

We discuss the conceptual and computational frameworks of information theory for decision making in speaker verification. The proposed approach departs from other conventional scoring models for speaker verification as the first approach takes into account the quantity of `surprise' or information content. We compare the new approach with a widely used log-likelihood normalization method for speaker verification. Experimental results on a commercial speech corpus validates the theoretical foundation of the proposed method. Furthermore, we introduce the unique entropic measure of uncertainty in the verification scoring

Place, publisher, year, edition, pages
2000. Vol. 3, 278-281 p.
National Category
Information Systems, Social aspects
URN: urn:nbn:se:liu:diva-125049DOI: 10.1109/ICPR.2000.903539ISBN: 0-7695-0750-6OAI: diva2:902711
15th International Conference on Pattern Recognition, 2000..03 Sep 2000-07 Barcelona
Available from: 2016-02-12 Created: 2016-02-12 Last updated: 2016-02-24

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Pham, Tuan D
Information Systems, Social aspects

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ReferencesLink to record
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