Grapheme-to-Phoneme Conversion Using Automatically Extracted Associative Rules for Korean TTS System

被引：0

作者：

Lee, Jinsik ^{[1
]}

Kim, Seungwon ^{[1
]}

Lee, Gary Geunbae ^{[1
]}

机构：

[1] Pohang Univ Sci & Technol, Dept Comp Sci & Engn, Pohang, South Korea

来源：

INTERSPEECH 2006 AND 9TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING, VOLS 1-5 | 2006年

关键词：

grapheme-to-phoneme conversion; letter-to-sound rule; text-to-speech system;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we describe a method for automatically extracting grapheme-to-phoneme conversion rules directly from the transcription of speech synthesis database and introduce a weighted score and jamo similarity to overcome the rule application difficulties. We make a structured rule tree by rule pruning and rule association, and can eliminate most of the rules with almost no decrease of the performance. Our system achieves over 99.5 percent of phoneme-level accuracy and this performance is easily achievable even with the small amount of training data.

引用

页码：1264 / 1267

页数：4

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