4th International Conference on Spoken Language Processing

Philadelphia, PA, USA
October 3-6, 1996

Using Stress to Disambiguate Spoken Thai Sentences Containing Syntactic Ambiguity

Siripong Potisuk (1), Mary P. Harper (1), Jackson T. Gandour (2)

(1) School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA
(2) Department of Audiology and Speech Sciences, Purdue University, West Lafayette, IN, USA

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.

Full Paper

Bibliographic reference.  Potisuk, Siripong / Harper, Mary P. / Gandour, Jackson T. (1996): "Using stress to disambiguate spoken Thai sentences containing syntactic ambiguity", In ICSLP-1996, 805-808.