Chinese tone modeling with Stem-ML

Chilin Shih, Greg P. Kochanski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper models tonal variations with Stem-ML tags. Surface tone shapes often deviate from their expected canonical shapes in natural sentences, presenting a challenging case to tone modeling. In this study we employed a subset of Stem-ML tags which incorporated information of lexical tones and linguistically motivated prosodic strength of the syllable. The tags successfully captured the "distorted" tone shapes and produced contextually appropriate surface variations.

Original languageEnglish (US)
Title of host publication6th International Conference on Spoken Language Processing, ICSLP 2000
PublisherInternational Speech Communication Association
ISBN (Electronic)7801501144, 9787801501141
StatePublished - Jan 1 2000
Externally publishedYes
Event6th International Conference on Spoken Language Processing, ICSLP 2000 - Beijing, China
Duration: Oct 16 2000Oct 20 2000

Publication series

Name6th International Conference on Spoken Language Processing, ICSLP 2000

Other

Other6th International Conference on Spoken Language Processing, ICSLP 2000
CountryChina
CityBeijing
Period10/16/0010/20/00

ASJC Scopus subject areas

  • Linguistics and Language
  • Language and Linguistics

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  • Cite this

    Shih, C., & Kochanski, G. P. (2000). Chinese tone modeling with Stem-ML. In 6th International Conference on Spoken Language Processing, ICSLP 2000 (6th International Conference on Spoken Language Processing, ICSLP 2000). International Speech Communication Association.