A Noise Robust I-Vector Extractor Using Vector Taylor Series For Speaker Recognition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F13%3APU106360" target="_blank" >RIV/00216305:26230/13:PU106360 - isvavai.cz</a>
Result on the web
<a href="http://www.fit.vutbr.cz/research/groups/speech/publi/2013/lei_icassp2013_0006788.pdf" target="_blank" >http://www.fit.vutbr.cz/research/groups/speech/publi/2013/lei_icassp2013_0006788.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A Noise Robust I-Vector Extractor Using Vector Taylor Series For Speaker Recognition
Original language description
This article describes a successfull adapation of the VTS approach to speaker recognition by proposing a new i-vector extraction framework.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
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
Proceedings of ICASSP 2013
ISBN
978-1-4799-0355-9
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
6788-6791
Publisher name
IEEE Signal Processing Society
Place of publication
Vancouver
Event location
Vancouver
Event date
May 27, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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