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

Hong Zhi Yu; Jin Xi Zhang; Guang Rong Shan; Ning Ma

doi:10.4028/www.scientific.net/AMM.411-414.308

Paper Titles

A Word Sense Disambiguation Approach for English-Thai Translation
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Comparison of Mel Frequency Ceptrum Coefficient and Perceptual Linear Predictive in Perceptual Measurement of Chinese Initials
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Corpus-Based Study on the Explicitation Strategies in Political Text Translation
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The Statistical Analysis for the Structure of Modern Tibetan Initials and Finals
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Research on Tibetan Language Synthesis System Front-End Text Processing Technology Based on HMM
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Research on Words Segmentation Technology in Chinese Full Text Retrieval System
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Research and Design of the MicroBlog Content Processing System Based on Integration of Internet of Things and Social Media
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Statistical Analysis for Standard Chinese Syllables and Phoneme System
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The Analysis of Typical Algorithms Based on K-Anonymity
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 411-414Research on Tibetan Language Synthesis System...

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

Abstract:

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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Periodical:

Applied Mechanics and Materials (Volumes 411-414)

Pages:

308-312

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.411-414.308

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Online since:

September 2013

Authors:

Hong Zhi Yu, Jin Xi Zhang, Guang Rong Shan, Ning Ma

Keywords:

Pronunciation Conversion, Prosodic Information is Divided, Speech Synthesis, Standardized Text, Word Segmentation

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References

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