Publication detail

Phonotactic Language Identification using High Quality Phoneme Recognition

Pavel Matejka, Petr Schwarz, Jan Cernocky, Pavel Chytil

Original Title

Phonotactic Language Identification using High Quality Phoneme Recognition

Type

conference paper

Language

English

Original 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.

Key words in English

language identification, phoneme recognition, phonotactic model

Authors

Pavel Matejka, Petr Schwarz, Jan Cernocky, Pavel Chytil

Released

8. 4. 2005

Location

Lisbon, Portugal

Pages from

1

Pages to

4

Pages count

4

URL

http://www.fit.vutbr.cz/~matejkap/publi/2005/eurospeech2005.pdf

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"
}