Result Details

Phonotactic Language Identification using High Quality Phoneme Recognition

Pavel Matejka, Petr Schwarz, Jan Cernocky, Pavel Chytil. Phonotactic Language Identification using High Quality Phoneme Recognition. In submitted to Eurospeech 2005. Lisbon, Portugal: 2005. 4 p.
Type
conference paper
Language
English
Authors
Matějka Pavel, Ing., Ph.D., DCGM (FIT), UREL (FEEC)
Schwarz Petr, Ing., Ph.D., FIT (FIT), DCGM (FIT)
Černocký Jan, prof. Dr. Ing., DCGM (FIT)
Chytil Pavel, Ing., Ph.D., UREL (FEEC)
Abstract

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.

URL
Published
2005
Pages
4
Proceedings
submitted to Eurospeech 2005
Volume
2005
Place
Lisbon, Portugal
BibTeX 
@inproceedings{BUT17756,
  author="Pavel {Matějka} and Petr {Schwarz} and Jan {Černocký} and Pavel {Chytil}",
  title="Phonotactic Language Identification using High Quality Phoneme Recognition",
  booktitle="submitted to Eurospeech 2005",
  year="2005",
  volume="2005",
  pages="4",
  address="Lisbon, Portugal",
  url="http://www.fit.vutbr.cz/~matejkap/publi/2005/eurospeech2005.pdf"
}
Departments
Department of Computer Graphics and Multimedia (DCGM)
Department of Radio Electronics (UREL)
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