Within-session variability modelling for factor analysis speaker verification


Autoria(s): Vogt, Robert J.; Pelecanos, Jason; Scheffer, Nicolas; Kajarekar, Sachin; Sridharan, Sridha
Data(s)

01/09/2009

Resumo

This work presents an extended Joint Factor Analysis model including explicit modelling of unwanted within-session variability. The goals of the proposed extended JFA model are to improve verification performance with short utterances by compensating for the effects of limited or imbalanced phonetic coverage, and to produce a flexible JFA model that is effective over a wide range of utterance lengths without adjusting model parameters such as retraining session subspaces. Experimental results on the 2006 NIST SRE corpus demonstrate the flexibility of the proposed model by providing competitive results over a wide range of utterance lengths without retraining and also yielding modest improvements in a number of conditions over current state-of-the-art.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/29574/

Relação

http://eprints.qut.edu.au/29574/1/c29574.pdf

http://www.interspeech2009.org/

Vogt, Robert J., Pelecanos, Jason, Scheffer, Nicolas, Kajarekar, Sachin, & Sridharan, Sridha (2009) Within-session variability modelling for factor analysis speaker verification. In 10th Annual Conference of the International Speech Communication Association : InterSpeech, 6-10 September 2009, Brighton Centre, Brighton.

Direitos

Copyright 2009 [please consult the authors]

Fonte

Faculty of Built Environment and Engineering; Information Security Institute; School of Engineering Systems

Palavras-Chave #080107 Natural Language Processing #090609 Signal Processing #speaker recognition #factor analysis #within-session variability
Tipo

Conference Paper