Title:	Analysis of the influence of speech corpora in the PLDA verification in the task of speaker recognition
Authors:	Machlica, Lukáš Zají­c, Zbyněk
Citation:	MACHLICA, Lukáš; ZAJÍC, Zbyněk. Analysis of the influence of speech corpora in the PLDA verification in the task of speaker recognition. In: Text, speech and dialogue. Berlin: Springer, 2012, p. 464-471. (Lectures notes in computer science; 7499). ISBN 978-3-642-32789-6.
Issue Date:	2012
Publisher:	Springer
Document type:	článek article
URI:	http://www.kky.zcu.cz/cs/publications/LukasMachlica_2012_Analysisofthe http://hdl.handle.net/11025/17040
ISBN:	978-3-642-32789-6
Keywords:	PLDA;latentní prostor;fůze;supervektor;FA;i-vektor
Keywords in different language:	PLDA;latent space;fusion;supervector;FA;i-vector
Abstract in different language:	In the paper recent methods used in the task of speaker recognition are presented. At first, the extraction of so called i-vectors from GMM based supervectors is discussed. These i-vectors are of low dimension and lie in a subspace denoted as Total Variability Space (TVS). The focus of the paper is put on Probabilistic Linear Discriminant Analysis (PLDA), which is used as a generative model in the TVS. The influence of development data is analyzed utilizing distinct speech corpora. It is shown that it is preferable to cluster available speech corpora to classes, train one PLDA model for each class and fuse the results at the end. Experiments are presented on NIST Speaker Recognition Evaluation (SRE) 2008 and NIST SRE 2010.
Rights:	© Lukáš Machlica - Zbyněk Zajíc
Appears in Collections:	Články / Articles (KKY) Články / Articles (NTIS)

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.