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MARTÍNEZ GONZÁLEZ, D. PLCHOT, O. BURGET, L. GLEMBEK, O. MATĚJKA, P.
Originální název
Language Recognition in iVectors Space
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
We have introduced a novel approach for language recognition. Three classifiers (linear generative model, SVM and logistic regression) have been tested in the iVector space, and all outperform the state-of-the-art JFA system. Very simple and fast classifier based on linear generative model provides excellent performance over all conditions. The advantage of this classifier is also its scalability: addition of a new language only requires estimating the mean over the corresponding iVectors. Most of the computational load is in the iVector generation. Hence, as a next step, we will try to obtain iVectors from the utterances and the corresponding sufficient statistics in a more direct way.
Klíčová slova
Acoustic Language Recognition, iVectors, Joint Factor Analysis
Autoři
MARTÍNEZ GONZÁLEZ, D.; PLCHOT, O.; BURGET, L.; GLEMBEK, O.; MATĚJKA, P.
Rok RIV
2011
Vydáno
27. 8. 2011
Nakladatel
International Speech Communication Association
Místo
Florence
ISBN
978-1-61839-270-1
Kniha
Proceedings of Interspeech 2011
ISSN
1990-9772
Periodikum
Proceedings of Interspeech
Ročník
Číslo
8
Stát
Francouzská republika
Strany od
861
Strany do
864
Strany počet
4
URL
http://www.fit.vutbr.cz/research/groups/speech/publi/2011/martinez_interspeech2011_291.pdf
BibTex
@inproceedings{BUT76437, author="David {Martínez González} and Oldřich {Plchot} and Lukáš {Burget} and Ondřej {Glembek} and Pavel {Matějka}", title="Language Recognition in iVectors Space", booktitle="Proceedings of Interspeech 2011", year="2011", journal="Proceedings of Interspeech", volume="2011", number="8", pages="861--864", publisher="International Speech Communication Association", address="Florence", isbn="978-1-61839-270-1", issn="1990-9772", url="http://www.fit.vutbr.cz/research/groups/speech/publi/2011/martinez_interspeech2011_291.pdf" }