Ausdang Thangthai

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This paper presents applications of five famous learning methods for Thai phrase break prediction. Phrase break prediction is particularly important for our Thai text-to-speech synthesizer (TTS), where input Thai text has no word and sentence boundary. The learning methods include a POS sequence model, CART, RIPPER, SLIPPER and neural network. Features(More)
This paper develops a bilingual Thai-English TTS system from two monolingual HMM-based TTS systems. An English Nagoya HMM-based TTS system (HTS) provides correct pronunciations of English words but the voice is different from the voice in a Thai HTS system. We apply a CSMAPLR adaptation technique to make the English voice sounds more similar to the Thai(More)
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