Detail publikace
Automatic Language Identification using Phoneme and Automatically Derived Unit Strings
MATĚJKA, P., SZŐKE, I., SCHWARZ, P., ČERNOCKÝ, J.
Originální název
Automatic Language Identification using Phoneme and Automatically Derived Unit Strings
Typ
článek v časopise - ostatní, Jost
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
language identificaton, phoneme recognizer, speech processing, ergodic hidden Markov model
Autoři
MATĚJKA, P., SZŐKE, I., SCHWARZ, P., ČERNOCKÝ, J.
Rok RIV
2004
Vydáno
8. 9. 2004
Nakladatel
Springer
ISSN
0302-9743
Periodikum
Lecture Notes in Computer Science
Ročník
2004
Číslo
3206
Stát
Spolková republika Německo
Strany od
147
Strany do
154
Strany počet
8
URL
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"
}