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Published in:
2007 | OriginalPaper | Chapter
A Continuous Unsupervised Adaptation Method For Speaker Verification
Authors : Alexandre Preti, Jean-Franˆois Bonastre, Franˆois Capman
Published in: Innovations in E-learning, Instruction Technology, Assessment, and Engineering Education
Publisher: Springer Netherlands
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—This paper deals with unsupervised model adaptation for speaker verification. We proposed a new method for updating speaker models using all test information incoming in the system. This is a continuous adaptation method which relies on the probability of the test trial belonging to the target speaker. Our adaptation scheme is evaluated in the framework of the NIST SRE 2005. This approach reaches a relative improvement for the NIST unsupervised adaptation mode of 15% DCF and 35% EER.