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Recently submitted ICASSP paper - Improving Short Utterance PLDA Speaker Verification using Multiple Enrolment Utterances

posted Oct 10, 2014, 12:30 PM by Ahilan M.K
Our recent studies have found that instead of using single long-utterance as enrolment data, if long enrolled-utterance is segmented into multiple short utterances and average of short utterance i-vectors is used as enrolled data, that improves the Gaussian PLDA (GPLDA) speaker verification. Subsequently, short utterance variance (SUV)-PLDA is also studied with multiple enrolment utterances. These research outcomes were submitted to ICASSP 2015 conference.