Introduction to China minority speech acoustic Parameter Database Platform

Zhou, Xuewen; Zheng, Yu; Hu, Hongchang

doi:10.1109/icsda.2009.5278361

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Information Technology Applications In Industry II1

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“…SAMPA-ST auto-tagging system core idea is that text monosyllabic sound finals separation, and the initials and finals the SAMPA-ST conversion, its combination, plus tone [4]. The process of program implementation word Ding decomposition table, SAMPA table of consonants and vowels and tones SAMPA table as a support library [5], the monosyllabic convert the flow chart shown in Figure 3 below. Figure 3.…”

Section: Information Technology Applications In Industry IImentioning

confidence: 99%

Research on Tibetan Language Synthesis System Front-End Text Processing Technology Based on HMM

Yu¹,

Zhang²,

Shan

et al. 2013

AMM

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The standardization of the text, word segmentation, the basic stitching unit divided for rhythm analysis and pronunciation conversion is an important content of the speech synthesis system front-end text processing modules. Lhasa Tibetan language and voice characteristics proposed the implementation of a set of Tibetan speech synthesis text analysis module to analyze and describe the Lhasa Tibetan language layer information and maps voice layer. The completion of the study is to lay a solid foundation for further Tibetan speech synthesis system.

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Section: Information Technology Applications In Industry IImentioning

confidence: 99%