Applying SVMs and weight-based factor analysis to unsupervised adaptation for speaker verification

McLaren, Mitchell L., Matrouf, Driss, Vogt, Robbie, & Bonastre, Jean-Francois (2011) Applying SVMs and weight-based factor analysis to unsupervised adaptation for speaker verification. Computer Speech & Language, 25(2), pp. 327-340.

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This paper presents an extended study on the implementation of support vector machine(SVM) based speaker verification in systems that employ continuous progressive model adaptation using the weight-based factor analysis model. The weight-based factor analysis model compensates for session variations in unsupervised scenarios by incorporating trial confidence measures in the general statistics used in the inter-session variability modelling process. Employing weight-based factor analysis in Gaussian mixture models (GMM) was recently found to provide significant performance gains to unsupervised classification. Further improvements in performance were found through the integration of SVM-based classification in the system by means of GMM supervectors. This study focuses particularly on the way in which a client is represented in the SVM kernel space using single and multiple target supervectors. Experimental results indicate that training client SVMs using a single target supervector maximises performance while exhibiting a certain robustness to the inclusion of impostor training data in the model. Furthermore, the inclusion of low-scoring target trials in the adaptation process is investigated where they were found to significantly aid performance.

Impact and interest:

4 citations in Scopus
2 citations in Web of Science®
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113 since deposited on 16 Nov 2010
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ID Code: 38497
Item Type: Journal Article
Refereed: Yes
Keywords: Speaker Verification, Factor Analysis, Gaussian Mixture Model (GMM), Support Vector Machine (SVM), Undersupervised Adaptation
DOI: 10.1016/j.csl.2010.02.004
ISSN: 0885-2308
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2011 Elsevier
Deposited On: 16 Nov 2010 00:16
Last Modified: 02 Jun 2015 04:50

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