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Recently submitted ICASSP paper - Domain Adaptation for PLDA based Speaker Verification with Limited In-domain Data

posted Oct 10, 2014, 12:31 PM by Ahilan M.K   [ updated Jan 14, 2015, 3:42 PM ]
My co-researcher studied the probabilistic linear discriminant analysis (PLDA) speaker verification approach with limited in-domain (NIST SREs) data. Speaker verification performance is investigated when a limited number of speakers and sessions/speaker data are available in target in-domain (NIST SREs) and a much larger amount of data are available in out-domain (SWB). Subsequently, a number of techniques, including linear-weighted and pooled approaches are investigated to improve the speaker verification performance. There research outcomes were submitted to ICASSP 2015 conference.
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