Independent Component Analysis and MLLR Transforms for Speaker Identification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F12%3APU98191" target="_blank" >RIV/00216305:26230/12:PU98191 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICASSP.2012.6288886" target="_blank" >http://dx.doi.org/10.1109/ICASSP.2012.6288886</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICASSP.2012.6288886" target="_blank" >10.1109/ICASSP.2012.6288886</a>
Alternative languages
Result language
angličtina
Original language name
Independent Component Analysis and MLLR Transforms for Speaker Identification
Original language description
This paper describes the use of of Independent Component Analysis (ICA) and Principal Component Analysis (PCA) techniques to reduce the dimensionality of high-level LVCSR features.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proc. International Conference on Acoustics, Speech, and Signal P
ISBN
978-1-4673-0044-5
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
4365-4368
Publisher name
IEEE Signal Processing Society
Place of publication
Kyoto
Event location
Kyoto
Event date
Mar 25, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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