Classification of Thai tone sequences in syllable-segmented speech using the analysis-by-synthesis method

Author

Potisuk, Siripong ; Harper, Mary P. ; Gandour, Jack

Author_Institution

Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA

Volume

7

Issue

1

fYear

1999

fDate

1/1/1999 12:00:00 AM

Firstpage

95

Lastpage

102

Abstract

Tone classification is important for Thai speech recognition because tone affects the lexical identification of words. An analysis-by-synthesis algorithm for classifying Thai tones in syllable-segmented speech is presented that uses an extension to Fujisaki´s (1983) model for tone languages that incorporates tonal assimilation and declination. The classifier correctly identifies all of the tones in 89.1% of the test utterances

Keywords

natural languages; pattern classification; speech processing; speech recognition; speech synthesis; Fujisaki´s model; Thai tone sequences classification; analysis-by-synthesis algorithm; lexical identification; speech recognition; syllable-segmented speech; test utterances; tonal assimilation; tonal declination; tone languages; Algorithm design and analysis; Classification algorithms; Lifting equipment; Natural languages; Pattern matching; Shape; Speech analysis; Speech processing; Speech recognition; Testing;

fLanguage

English

Journal_Title

Speech and Audio Processing, IEEE Transactions on

Publisher

ieee

ISSN

1063-6676

Type

jour

DOI

10.1109/89.736336

Filename

736336