대한음성학회:학술대회논문집 (Proceedings of the KSPS conference)
- 대한음성학회 2003년도 5월 학술대회지
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- Pages.87-90
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- 2003
POSTTS : 자연어 분석을 통한 코퍼스 기반 한국어 TTS
POSTTS : Corpus Based Korean TTS based on Natural Language Analysis
- 발행 : 2003.05.01
초록
In order to produce high quality synthesized speech, it is very important to get an accurate grapheme-to-phoneme conversion and prosody model from texts using natural language processing. Robust preprocessing for non-Korean characters should also be required. In this paper, we analyzed Korean texts using a morphological analyzer, part-of-speech tagger and syntactic chunker. We present a new grapheme-to-phoneme conversion method, i.e. a dictionary-based and rule-based hybrid method, for unlimited vocabulary Korean TTS. We constructed a prosody model using a probabilistic method and decision tree-based method.
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