Migrating i-vectors Between Speaker Recognition Systems Using Regression Neural Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F15%3APU117047" target="_blank" >RIV/00216305:26230/15:PU117047 - isvavai.cz</a>
Result on the web
<a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=10968" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=10968</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Migrating i-vectors Between Speaker Recognition Systems Using Regression Neural Networks
Original language description
We have shown that a linear transformation can be used to transform alien i-vectors to the reference i-vectors as the input to the reference PLDA system.
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
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
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 Interspeech 2015
ISBN
978-1-5108-1790-6
ISSN
1990-9772
e-ISSN
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Number of pages
5
Pages from-to
2327-2331
Publisher name
International Speech Communication Association
Place of publication
Dresden
Event location
Dresden
Event date
Sep 6, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000380581601022