Detail publikačního výsledku

Discriminative Training Techniques for Acoustic Language Identification

BURGET, L.; MATĚJKA, P.; ČERNOCKÝ, J.

Originální název

Discriminative Training Techniques for Acoustic Language Identification

Anglický název

Discriminative Training Techniques for Acoustic Language Identification

Druh

Stať ve sborníku mimo WoS a Scopus

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 ratecompares favorably to other results published on NIST 2003 data.

Anglický 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 ratecompares favorably to other results published on NIST 2003 data.

Klíčová slova

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

Klíčová slova v angličtině

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

Autoři

BURGET, L.; MATĚJKA, P.; ČERNOCKÝ, J.

Vydáno

09.08.2006

Místo

Toulouse

Kniha

Proceedings of ICASSP 2006

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"
}