Abstract
This chapter presents a statistical decision procedure for lexical ambiguity resolution in text-to-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 seven major types of ambiguity in which context can be used to choose the pronunciation of a word.
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Yarowsky, D. (1997). Homograph Disambiguation in Text-to-Speech Synthesis. In: van Santen, J.P.H., Olive, J.P., Sproat, R.W., Hirschberg, J. (eds) Progress in Speech Synthesis. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1894-4_12
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DOI: https://doi.org/10.1007/978-1-4612-1894-4_12
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