Short Utterance Variance Modelling and Utterance Partitioning for PLDA Speaker Verification


This paper analyses the short utterance probabilistic linear discriminant analysis (PLDA) speaker verification with utterance partitioning and short utterance variance (SUV) modelling approaches. Experimental studies have found that instead of using single long-utterance as enrolment data, if long enrolledutterance is partitioned into multiple short… (More)
DOI: 10.21437/Interspeech.2016-778


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