Dealing with Diverse Data Variances in Factor Analysis Based Methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F13%3A43920612" target="_blank" >RIV/49777513:23520/13:43920612 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007/978-3-319-01931-4_14" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-01931-4_14</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-01931-4_14" target="_blank" >10.1007/978-3-319-01931-4_14</a>
Alternative languages
Result language
angličtina
Original language name
Dealing with Diverse Data Variances in Factor Analysis Based Methods
Original language description
Probabilistic Linear Discriminant Analysis (PLDA) and the concept of i-vectors are state-of-the-art methods used in the speaker recognition. They are based on Factor Analysis, in which a data covariance matrix is decomposed in order to find a low dimensional representation of given feature vectors. More precisely, the Factor Analysis based methods seek for directions/subspaces in which the projected (overall/between/within) variance is highest. In order to train models related to individual methods, development speech corpora comprising various acoustic conditions are utilized. The higher are the variations in some of these acoustic conditions, the more will the model tend to reflect them. Strong data variations in some of the development corpora may suppress conditions present in other corpora. This can lead to poor recognition when acoustic variations in test conditions significantly differ. In this paper techniques alleviating such effects are investigated. The idea is to use severa
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/TA01030476" target="_blank" >TA01030476: Intelligent technologies for improving air traffic security</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Speech and Computer
ISBN
978-3-319-01930-7
ISSN
0302-9743
e-ISSN
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Number of pages
8
Pages from-to
100-107
Publisher name
Springer
Place of publication
Cham
Event location
Pilsen, Czech Republic
Event date
Sep 1, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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