Tone Question of Tree Based Context Clustering for Hidden Markov Model Based Thai Speech Synthesis | Science Publications

Journal of Computer Science

Suphattharachai Chomphan¹ 

关键词: Thai tone;    tree-based context clustering;    HMM-based speech synthesis;   

DOI  :  10.3844/jcssp.2010.1474.1478

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

Problem statement: In HMM-based Thai speech synthesis, tone is an important issue thatbrings about the intelligibility of the synthesized speech. Tone distortion resulted from imbalance ofthe training data should be appropriately treated. Approach: This study described an HMM-basedspeech synthesis system for Thai language. In the system, spectrum, pitch and state duration aremodeled simultaneously in a unified framework of HMM, their parameter distributions are clusteredindependently by using a decision-tree based context clustering technique. The contextual factorswhich affect spectrum, pitch and duration, i.e., part of speech, position and number of phones in asyllable, position and number of syllables in a word, position and number of words in a sentence,phone type and tone type, are taken into account for constructing the questions of the decision tree.Since Thai is a tonal language, tone questions play an important role in the context clustering process.Results: An experimental result compared F0 contours between those of synthesized speech with andwithout tone questions; furthermore the size of Thai speech corpus is varied to investigate thesynthesized speech quality. Conclusion: By using the tone questions in the tree-based contextclustering process, the tone distortion is relieved significantly.

【 授权许可】

Unknown