Publication detail
Language Recognition in iVectors Space
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 outperformthe state-of-the-art JFA system. Very simple and fast classifierbased on linear generative model provides excellent performanceover all conditions. The advantage of this classifieris also its scalability: addition of a new language only requiresestimating the mean over the corresponding iVectors. Most ofthe computational load is in the iVector generation. Hence, as anext step, we will try to obtain iVectors from the utterances andthe corresponding sufficient statistics in a more direct way.
Keywords
Acoustic Language Recognition, iVectors, JointFactor 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
ISBN
1990-9772
Periodical
Proceedings of Interspeech
Year of study
2011
Number
8
State
French Republic
Pages from
861
Pages to
864
Pages count
4
URL
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"
}