Modeling tones in continuous Cantonese speech

Cantonese is a major Chinese dialect with a complicated tone system. This research focuses on quantitative modeling of Cantonese tones. It uses Stem-ML, a language-independent framework for quantitative intonation modeling and generation. A set of F0 prediction models are built, and trained on acoustic data. The prediction error is about 11 Hz of 1 semitone. The resulting optimal model parameters are analyzed in accordance with linguistic knowledge. Key observations include: (1) There is no obvious advantage to model the entering tones separately. They can be considered as simply truncated versions of the non-entering tones; (2) Cantonese appears to have a declining phrase intonation; (3) Tones at initial positions of a phrase or a sentence tend to have a greater prosodic strength than those at the final positions; (4) Content words are stronger than function words; (5) Long words are stronger than short words.Dr Kochanski is now based at the University of Oxford Phonetics Laboratory. Citation: Lee, T. et al. (2002): "Modeling tones in continuous Cantonese speech", In: Proceedings of the Seventh International Conference on Spoken Language Processing (ICSLP2002 - INTERSPEECH 2002), Denver, Colorado, USA, September 16-20, 2002, 2401-2404. [Available to members of ISCA at the ISCA Archive: http://www.isca-speech.org/archive/icslp02]