Detail publikace

Discriminative Training Techniques for Acoustic Language Identification

BURGET, L. MATĚJKA, P. ČERNOCKÝ, J.

Originální název

Discriminative Training Techniques for Acoustic Language Identification

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

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 rate compares favorably to other results published on NIST 2003 data.

Klíčová slova

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

Autoři

BURGET, L.; MATĚJKA, P.; ČERNOCKÝ, J.

Rok RIV

2006

Vydáno

9. 8. 2006

Místo

Toulouse

Strany od

209

Strany do

212

Strany počet

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"
}