Sixth International Conference on Spoken Language Processing
October 16-20, 2000
Chinese Tone Modeling with Stem-ML
Chilin Shih, Greg P. Kochanski
Bell Labs - Lucent Technologies, Murray Hill, NJ, USA
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
Shih, Chilin / Kochanski, Greg P. (2000):
"Chinese tone modeling with stem-ML",
In ICSLP-2000, vol.2, 67-70.