Pronunciation Variation Generation for Spontaneous Speech Synthesis Using State-Based Voice Transformation

碩士 === 國立成功大學 === 資訊工程學系碩博士班 === 97 === Pronunciation variation plays an important role in spontaneous speech. In recent years, speech synthesis based on Hidden Markov Models has been developed, which can synthesize smooth speech and clear pronunciation. The advantage of HMM-based synthesized system...

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Bibliographic Details
Main Authors: Jun-Cheng Guo, 郭峻成
Other Authors: Chung-Hsien Wu
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/93025974058342639783