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The IRISA/ELISA Speaker Detection and Tracking Systems for the NIST'99 Evaluation Campaign

✍ Scribed by Mouhamadou Seck; Raphaël Blouet; Frédéric Bimbot

Publisher: Elsevier Science
Year: 2000
Tongue: English
Weight: 231 KB
Volume: 10
Category: Article
ISSN: 1051-2004
DOI: 10.1006/dspr.1999.0364

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✦ Synopsis

This article presents the various systems developed by IRISA, around the ELISA platform, for the NIST'99 evaluation campaign in speaker detection and tracking. The main features of these systems are the implementation of a Maximum A Posteriori approach for speaker model estimation, an utterance-length dependent z-normalization scheme for test segment scoring, a speaker/world mixture model for addressing the twospeaker detection task, and the use of a change point detection method for speaker tracking. The performance of the various systems on the NIST'99 evaluation data are reported.

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📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 145 KB

This article presents the text-independent speaker detection and tracking systems developed by the members of the ELISA Consortium for the NIST'99 speaker recognition evaluation campaign. ELISA is a consortium grouping researchers of several laboratories sharing software modules, resources and exper