Result Details

Phonotactic Language Identification

MATĚJKA, P.; SCHWARZ, P.; ČERNOCKÝ, J.; CHYTIL, P. Phonotactic Language Identification. Proceedings of Radioelektronika 2005. Brno: Faculty of Electrical Engineering and Communication BUT, 2005. p. 140-143. ISBN: 80-214-2904-6.
Type
conference paper
Language
English
Authors
Matějka Pavel, Ing., Ph.D., DCGM (FIT)
Schwarz Petr, Ing., Ph.D., DCGM (FIT)
Černocký Jan, prof. Dr. Ing., DCGM (FIT)
Chytil Pavel, Ing., Ph.D.
Abstract

Language identification based on phonotactic approach. Comparison of several phone recognizers. Results on NIST LRE 2003 with 12 languages are EER 4.85.

Keywords

Language identificaion, phoneme recognition

URL
Annotation

This paper provides brief description of Language
Identification (LID) system based on phoneme recognizer followed
by language models (PRLM). Reported results are on data from NIST
2003 LID evaluation. Our system has Equal Error Rate (EER) 4.8\%
on task with 12 languages. This result compares favorably to the
best known Parallel PRLM results from this evaluation.

Published
2005
Pages
140–143
Proceedings
Proceedings of Radioelektronika 2005
Conference
15th International Czech-Slovak Scientific conference Radioelektronika 2005
ISBN
80-214-2904-6
Publisher
Faculty of Electrical Engineering and Communication BUT
Place
Brno
BibTeX 
@inproceedings{BUT21477,
  author="Pavel {Matějka} and Petr {Schwarz} and Jan {Černocký} and Pavel {Chytil}",
  title="Phonotactic Language Identification",
  booktitle="Proceedings of Radioelektronika 2005",
  year="2005",
  pages="140--143",
  publisher="Faculty of Electrical Engineering and Communication BUT",
  address="Brno",
  isbn="80-214-2904-6",
  url="http://www.fit.vutbr.cz/~matejkap/publi/2005/ra2005.pdf"
}
Projects
Augmented Multi-party Interaction, EU, Sixth Framework programme, 506811-AMI, start: 2004-01-01, end: 2006-12-31, completed
New trends in research and application of voice technology, GACR, Standardní projekty, GA102/05/0278, start: 2005-01-01, end: 2007-12-31, completed
Research groups
Speech Data Mining Research Group BUT Speech@FIT (RG SPEECH)
Departments
Department of Computer Graphics and Multimedia (DCGM)
Department of Radio Electronics (UREL)
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