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Application of Time–Frequency Principal Component Analysis to Speaker Verification

✍ Scribed by Ivan Magrin-Chagnolleau; Geoffrey Durou

Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
133 KB
Volume
10
Category
Article
ISSN
1051-2004

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✦ Synopsis

This article presents the RIMO/ELISA speaker verification system which has been used in the 1999 NIST speaker recognition evaluation. This system is based on a new technique for analyzing speech signals called time-frequency principal component (TFPC) analysis. This technique consists in extracting principal components from the contextual covariance matrix, which is the covariance matrix of a sequence of vectors expanded by their temporal context. The database used for the experiments is a subset of the Switchboard corpus.

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