Detail publikace

Phonotactic Language Identification using High Quality Phoneme Recognition

MATĚJKA, P., SCHWARZ, P., ČERNOCKÝ, J., CHYTIL, P.

Originální název

Phonotactic Language Identification using High Quality Phoneme Recognition

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Phoneme Recognizers followed by Language Modeling (PRLM) have
consistently yielded top performance in language identification
(LID) task. Parallel ordering of PRLMs (PPRLM) improves
performance even more.
Since tokenizer is the most important part of
LID system the high quality phoneme recognizer is employed. Two
different multilingual databases for training phoneme recognizers are
compared and the amount of sufficient training data is studied.
Reported results are on data from NIST
2003 LID evaluation. Our four PRLM systems have Equal Error Rate
(EER) of 2.4\% on 12 languages task. This result compares
favorably to the best known result from this task.

Klíčová slova

Language identificaion, phoneme recognition

Autoři

MATĚJKA, P., SCHWARZ, P., ČERNOCKÝ, J., CHYTIL, P.

Rok RIV

2005

Vydáno

9. 9. 2005

Nakladatel

International Speech Communication Association

Místo

Lisbon

ISSN

1018-4074

Periodikum

European Conference EUROSPEECH

Ročník

2005

Číslo

9

Stát

Švýcarská konfederace

Strany od

2237

Strany do

2240

Strany počet

4

URL

BibTex

@inproceedings{BUT21478,
  author="Pavel {Matějka} and Petr {Schwarz} and Jan {Černocký} and Pavel {Chytil}",
  title="Phonotactic Language Identification using High Quality Phoneme Recognition",
  booktitle="Interspeech'2005 - Eurospeech - 9th European Conference on Speech Communication and Technology",
  year="2005",
  journal="European Conference EUROSPEECH",
  volume="2005",
  number="9",
  pages="2237--2240",
  publisher="International Speech Communication Association",
  address="Lisbon",
  issn="1018-4074",
  url="http://www.fit.vutbr.cz/~matejkap/publi/2005/eurospeech2005.pdf"
}