A Comparison of Session Variability Compensation Techniques for SVM-Based Speaker Recognition
McLaren, Mitchell L., Vogt, Robert J., Baker, Brendan J., & Sridharan, Sridha (2007) A Comparison of Session Variability Compensation Techniques for SVM-Based Speaker Recognition. In Interspeech 2007, August 27-31, Antwerp, Belgium.
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Abstract
This paper compares two of the leading techniques for session variability compensation in the context of GMM mean supervector SVM classifiers for speaker recognition: inter-session variability modelling and nuisance attribute projection. The former is incorporated in the GMM model training while the latter is employed as a modified SVM kernel. Results on both the NIST 2005 and 2006 corpora demonstrate the effectiveness of both techniques for reducing the effects of session variation.
Further, system- and score-level fusion experiments show that the combination of the two methods provides improved performance.
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| ID Code: | 7594 |
|---|---|
| Item Type: | Conference Paper |
| Additional Information: | For more information, please refer to the conference’s website (see hypertext link) or contact the author. |
| Additional URLs: | |
| ISSN: | 1990-9772 |
| 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 > QUT Faculties & Divisions > Faculty of Science and Technology Past > Institutes > Information Security Institute |
| Copyright Owner: | Copyright 2007 (please consult author) |
| Deposited On: | 25 Feb 2008 |
| Last Modified: | 29 Feb 2012 23:40 |
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