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 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

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"
}