Analysis of the Influence of Speech Corpora in the PLDA Verification in the Task of Speaker Recognition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F12%3A43916020" target="_blank" >RIV/49777513:23520/12:43916020 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/content/pdf/10.1007%2F978-3-642-32790-2_56" target="_blank" >http://link.springer.com/content/pdf/10.1007%2F978-3-642-32790-2_56</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-32790-2_56" target="_blank" >10.1007/978-3-642-32790-2_56</a>
Alternative languages
Result language
angličtina
Original language name
Analysis of the Influence of Speech Corpora in the PLDA Verification in the Task of Speaker Recognition
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
—
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Lecture Notes in Computer Science
ISSN
0302-9743
e-ISSN
—
Volume of the periodical
7499
Issue of the periodical within the volume
neuveden
Country of publishing house
DE - GERMANY
Number of pages
8
Pages from-to
464-471
UT code for WoS article
—
EID of the result in the Scopus database
—