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Using stress to disambiguate spoken Thai sentences containing syntactic ambiguity

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3 Author(s)
Potisuk, S. ; Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA ; Harper, Mary P. ; Gandour, J.

We have developed a Bayesian classifier to determine whether syllables in connected Thai speech are weakly or strongly stressed by using five acoustic parameters: syllable rhyme duration, mean F0 , F0 standard deviation, mean energy, and the standard deviation of the energy. With speaker dependent data normalization, we achieved a classification accuracy of 99%. The classification accuracy drops to 96% when we used speaker independent normalization. We have also developed prosodic constraints that can use this stress information to syntactically disambiguate a class of ambiguous sentences that arise from the use of compounding in spoken Thai

Published in:

Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on  (Volume:2 )

Date of Conference:

3-6 Oct 1996