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Tone correctness improvement in speaker dependent HMM-based Thai speech synthesis by Suphattharachai Chomphan; Takao Kobayashi is a Computer Science article available to read on EtoBox.

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In this paper, we describe a novel approach to the realization of Thai speech synthesis. Spectrum, fundamental frequency (F0), and phone duration are modeled simultaneously in a unified framework of HMM, and their parameter distributions are clustered independently by using a decision-tree based context clustering technique. A group of contextual factors which affect spectrum, F0, and state duration, i.e., tone type, part of speech, are taken into account. Since Thai is a tonal language, not only intelligibility and naturalness but also correctness of synthesized tone is taken into account. To improve the correctness of tone of the synthesized speech, tone groups and tone types are used to design four different structures of decision tree in the tree-based context clustering process, including a single binary tree structure, a simple tone-separated tree structure, a constancy-based-tone-separated tree structure, and a trend-based-toneseparated tree structure. A subjective evaluation of tone correctness is conducted by using tone perception of eight Thai listeners. The simple tone-separated tree structure gives the highest level of tone correctness, while the single binary tree stru

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Author

Suphattharachai Chomphan; Takao Kobayashi

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0167-6393)

Published

2008

Language

EN

Field

Computer Science (Physical Sciences)