Result 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, 8 p. ISSN: 0302-9743.
Type
journal article
Language
English
Authors
Matějka Pavel, Ing., Ph.D., DCGM (FIT)
Szőke Igor, Ing., Ph.D., DCGM (FIT)
Schwarz Petr, Ing., Ph.D., DCGM (FIT)
Černocký Jan, prof. Dr. Ing., DCGM (FIT)
Abstract

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.

Keywords

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

URL
Published
2004
Pages
8
Journal
Lecture Notes in Computer Science, vol. 2004, no. 3206, ISSN 0302-9743
Edition
1
Publisher
Springer
BibTeX
@article{BUT45377,
  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="8",
  issn="0302-9743",
  url="http://www.springerlink.com/index/CUFLYEGQA8W1LNBE"
}
Projects
Data driven and anthropic coding and recognition of speech, GACR, Postdoktorandské granty, GP102/02/D108, start: 2002-09-01, end: 2005-08-30, completed
Voice technologies for support of information society, GACR, Standardní projekty, GA102/02/0124, start: 2002-01-01, end: 2004-12-31, completed
Departments
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