Journal article

MATĚJKA Pavel, SZŐKE Igor, SCHWARZ Petr and ČERNOCKÝ Jan. Automatic Language Identification using Phoneme and Automatically Derived Unit Strings. Lecture Notes in Computer Science. 2004, vol. 2004, no. 3206, p. 8. ISSN 0302-9743.
Publication language:english
Original title:Automatic Language Identification using Phoneme and Automatically Derived Unit Strings
Title (cs):Automatická Identifikace Jazyka užitím Fonémů a Automaticky Odvozených Jednotek
Pages:8
Book:Lecture Notes in Computer Science
Place:DE
Year:2004
Journal:Lecture Notes in Computer Science, Vol. 2004, No. 3206, DE
ISSN:0302-9743
URL:http://www.springerlink.com/index/CUFLYEGQA8W1LNBE [HTML]
Keywords
language identificaton, phoneme recognizer, speech processing, ergodic hidden Markov model
Annotation
Phonemes and Automatically Derived Units in Automatic Language Identification
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.
BibTeX:
@ARTICLE{
   author = {Pavel Mat{\v{e}}jka and Igor Sz{\H{o}}ke and Petr Schwarz
	and Jan {\v{C}}ernock{\'{y}}},
   title = {Automatic  Language Identification using Phoneme and
	Automatically Derived Unit Strings},
   pages = {8},
   booktitle = {Lecture Notes in Computer Science},
   journal = {Lecture Notes in Computer Science},
   volume = {2004},
   number = {3206},
   year = {2004},
   ISSN = {0302-9743},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=7642}
}

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