Main Issues in Grapheme-to-Phoneme Conversion for TTS
نویسندگان
چکیده
Grapheme-to-phoneme conversion system for English is being developed for further integration into speech synthesis system within TC-STAR project. In this work we describe experiments performed using two different machine learning techniques. The pronunciation was predicted both for stressed and unstressed lexicon and the results were compared. Analysis of different parameters that may influence the error rate in grapheme-to-phoneme conversion was performed. The error rate as a function of the word length was studied.
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ورودعنوان ژورنال:
- Procesamiento del Lenguaje Natural
دوره 35 شماره
صفحات -
تاریخ انتشار 2005