Sixth International Conference on Spoken Language Processing
(ICSLP 2000)

Beijing, China
October 16-20, 2000

A MAP Approach, with Synchronous Decoding and Unit-Based Normalization for Text-Dependent Speaker Verification

Johnny Mariethoz (1), Johan Lindberg (2), Frédéric Bimbot (3)

(1) IDIAP, Martigny, Switzerland
(2) KTH, Stockholm, Sweden
(3) IRISA, Rennes, France

This paper presents an overview of some of the research tracks in text-dependent speaker verification followed by the Picasso Project (Research Work Package). We focus successively on the training algorithm (based on a MAP approach), the state-sequence decoding procedure (by Synchronous Alignment) and the score normalization (unit-based z-normalization). On short utterances of 1 to 5 syllables (Polyvar command words), we obtain an error rate of 5.6 % with 2 training sessions, which can be brought down to 3.3% with 3 additional sessions in incremental trainmg mode.


Full Paper

Bibliographic reference.  Mariethoz, Johnny / Lindberg, Johan / Bimbot, Frédéric (2000): "A MAP approach, with synchronous decoding and unit-based normalization for text-dependent speaker verification", In ICSLP-2000, vol.2, 286-289.