 |
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.