Publication result detail

Discriminative Training Techniques for Acoustic Language Identification

BURGET, L.; MATĚJKA, P.; ČERNOCKÝ, J.

Original Title

Discriminative Training Techniques for Acoustic Language Identification

English Title

Discriminative Training Techniques for Acoustic Language Identification

Type

Paper in proceedings outside WoS and Scopus

Original Abstract

This paper presents comparison of Maximum Likelihood (ML)
and  discriminative Maximum Mutual Information (MMI) training
 for acoustic modeling in language identification (LID). Clear  advantage of MMI over ML training is shown. The final error ratecompares favorably to other results published on NIST 2003 data.

English abstract

This paper presents comparison of Maximum Likelihood (ML)
and  discriminative Maximum Mutual Information (MMI) training
 for acoustic modeling in language identification (LID). Clear  advantage of MMI over ML training is shown. The final error ratecompares favorably to other results published on NIST 2003 data.

Keywords

language identification, language recognition, acoustic modeling, disriminative training, maximum mutual information

Key words in English

language identification, language recognition, acoustic modeling, disriminative training, maximum mutual information

Authors

BURGET, L.; MATĚJKA, P.; ČERNOCKÝ, J.

Released

09.08.2006

Location

Toulouse

Book

Proceedings of ICASSP 2006

Pages from

209

Pages to

212

Pages count

4

URL

http://www.fit.vutbr.cz/research/groups/speech/publi/2006/burget_mmi_lid_icassp2006.pdf

BibTex

@inproceedings{BUT22218,
  author="Lukáš {Burget} and Pavel {Matějka} and Jan {Černocký}",
  title="Discriminative Training Techniques for Acoustic Language Identification",
  booktitle="Proceedings of ICASSP 2006",
  year="2006",
  pages="209--212",
  address="Toulouse",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2006/burget_mmi_lid_icassp2006.pdf"
}