Investigating in-domain data requirements for PLDA training
Rahman, Md Hafizur, Dean, David, Kanagasundaram, Ahilan, & Sridharan, Sridha (2015) Investigating in-domain data requirements for PLDA training. In Proceedings of the 16th Annual Conference of the International Speech Communication Association, Interspeech 2015, International Speech Communication Association, Maritim International Congress Center, Dresden, Germany, pp. 2322-2326.
This paper analyzes the limitations upon the amount of in- domain (NIST SREs) data required for training a probabilistic linear discriminant analysis (PLDA) speaker verification system based on out-domain (Switchboard) total variability subspaces. By limiting the number of speakers, the number of sessions per speaker and the length of active speech per session available in the target domain for PLDA training, we investigated the relative effect of these three parameters on PLDA speaker verification performance in the NIST 2008 and NIST 2010 speaker recognition evaluation datasets. Experimental results indicate that while these parameters depend highly on each other, to beat out-domain PLDA training, more than 10 seconds of active speech should be available for at least 4 sessions/speaker for a minimum of 800 speakers. If further data is available, considerable improvement can be made over solely out-domain PLDA training.
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|Item Type:||Conference Paper|
|Keywords:||speaker verification, PLDA, in-domain, out- domain, in-domain data requirement|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2015 [Please consult the author(s).]|
|Deposited On:||23 Jun 2015 22:31|
|Last Modified:||24 Sep 2015 00:41|
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