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Speaker-specific Pronunciation for Speech Synthesis Host Publication: 16th International Conference, TSD 2013 Authors: L. Latacz, W. Mattheyses and W. Verhelst UsePubPlace: Berlin, Germany Publisher: Springer Verlag Publication Date: Sep. 2013 Number of Pages: 8 ISBN: 978-3-642-40584-6
Abstract: A pronunciation lexicon for speech synthesis is a key component of a modern speech synthesizer, containing the orthography and phonemic transcriptions of a large number of words. A lexicon may contain words with multiple pronunciations, such as reduced and full versions of (function) words, homographs, or other types of words with multiple acceptable pronunciations such as foreign words or names. Pronunciation variants should therefore be taken into account during voice-building (e.g. segmentation and labeling of a speech database), as well as during synthesis. In this paper we outline a strategy to automatically deal with these variants, resulting in a speaker-specific pronunciation. Based on a labeled speech database, the pronunciation lexicon is pruned in order to remove as much as possible pronunciation variation from the lexicon. This pruned lexicon can be used to train speaker-specific letter-to-sound rules. If the speaker has uttered a word in different ways, then these variants are not pruned. Instead, decision trees are trained for each of those words, which are used to select the most suitable pronunciation during synthesis. We tested our approach on five speech databases, and two lexicons per speech database. The automatic selection of pronunciation variants yielded a small improvement over the baseline (selecting always the most common variant).
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