Second ESCA/IEEE Workshop on Speech Synthesis
September 12-15, 1994
This paper presents a statistical decision procedure for lexical ambiguity resolution in speech synthesis. Based on decision lists, the algorithm incorporates both local syntactic patterns and more distant collocational evidence, combining the strengths of decision trees, N-gram taggers and Bayesian classifiers. The algorithm is applied to 7 major types of ambiguity where context is used to choose a word's pronunciation.
Bibliographic reference. Yarowsky, David (1994): "Homograph disambiguation in speech synthesis", In SSW2-1994, 244-247.