Publication Details

Automatic Language Identification using Phoneme and Automatically Derived Unit Strings

MATĚJKA, P.; SZŐKE, I.; SCHWARZ, P.; ČERNOCKÝ, J. Automatic Language Identification using Phoneme and Automatically Derived Unit Strings. Lecture Notes in Computer Science, 2004, vol. 2004, no. 3206, p. 147-154. ISSN: 0302-9743.
Czech title
Automatická Identifikace Jazyka užitím Fonémů a Automaticky Odvozených Jednotek
Type
journal article
Language
English
Authors
Matějka Pavel, Ing., Ph.D. (DCGM)
Szőke Igor, Ing., Ph.D. (DCGM)
Schwarz Petr, Ing., Ph.D. (DCGM)
Černocký Jan, prof. Dr. Ing. (DCGM)
URL
Keywords

language identificaton, phoneme recognizer, speech processing, ergodic hidden Markov model

Abstract

Phonemes and Automatically Derived Units in Automatic Language Identification

Annotation

Language identification (LID) based on phono-tactic modeling is presented in this paper. Approaches using phoneme strings and strings of units automatically derived by  an Ergodic HMM (EHMM)  are compared. The  phoneme recognizers were trained on 6  languages from OGI multi-language-corpus and Czech SpeechDat-E. The LID results are obtained on 4 languages. The results show superiority of Czech phoneme recognizer while used in LID and promising trends using
the EHMM-derived units.

Published
2004
Pages
147–154
Journal
Lecture Notes in Computer Science, vol. 2004, no. 3206, ISSN 0302-9743
Book
Lecture Notes in Computer Science
BibTeX 
@article{BUT45738,
  author="Pavel {Matějka} and Igor {Szőke} and Petr {Schwarz} and Jan {Černocký}",
  title="Automatic Language Identification using Phoneme and Automatically Derived Unit Strings",
  journal="Lecture Notes in Computer Science",
  year="2004",
  volume="2004",
  number="3206",
  pages="147--154",
  issn="0302-9743",
  url="http://www.springerlink.com/index/CUFLYEGQA8W1LNBE"
}
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