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MARTÍNEZ GONZÁLEZ, D. PLCHOT, O. BURGET, L. GLEMBEK, O. MATĚJKA, P.
Original Title
Language Recognition in iVectors Space
Type
conference paper
Language
English
Original Abstract
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.
Keywords
Acoustic Language Recognition, iVectors, Joint Factor Analysis
Authors
MARTÍNEZ GONZÁLEZ, D.; PLCHOT, O.; BURGET, L.; GLEMBEK, O.; MATĚJKA, P.
RIV year
2011
Released
27. 8. 2011
Publisher
International Speech Communication Association
Location
Florence
ISBN
978-1-61839-270-1
Book
Proceedings of Interspeech 2011
1990-9772
Periodical
Proceedings of Interspeech
Year of study
Number
8
State
French Republic
Pages from
861
Pages to
864
Pages count
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" }