05 Mar 2003

Greg Kochanski

Stem-ML can be used to build quantititative models of intonation, and one can test those models by comparing them to f0 tracks. One can build linguistically suggestive models of Mandarin, Cantonese, and a small domain of English intonation, that describe the data well, and are almost (but not quite) Autosegmental-Metrical models. The models compute tonal coarticulation based on a simple model of muscle dynamics and the brain's planning process. The models yield a measurement that can be interpreted as the importance of a word or syllable. We show that these measurements are generally consistent with linguistic assumptions.

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