Publication detail
Automatic Language Identification using Phoneme and Automatically Derived Unit Strings
MATĚJKA, P., SZŐKE, I., SCHWARZ, P., ČERNOCKÝ, J.
Original Title
Automatic Language Identification using Phoneme and Automatically Derived Unit Strings
English Title
Automatic Language Identification using Phoneme and Automatically Derived Unit Strings
Type
journal article - other
Language
en
Original 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.
English 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
RIV year
2004
Released
08.09.2004
Publisher
Springer
ISBN
0302-9743
Periodical
Lecture Notes in Computer Science
Year of study
2004
Number
3206
State
DE
Pages from
147
Pages to
154
Pages count
8
URL
Documents
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",
annote="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.",
address="Springer",
chapter="45377",
institution="Springer",
journal="Lecture Notes in Computer Science",
number="3206",
volume="2004",
year="2004",
month="september",
pages="147",
publisher="Springer",
type="journal article - other"
}