Synthetic Speech Signal-quality Improving Methods Using Minimum-Generation-Error Trained HMM and Global Variance Matching
碩士 === 國立臺灣科技大學 === 資訊工程系 === 103 === In this thesis, we adopt a new HMM (hidden Markov model) structure, i.e. half (half context-dependent and size) HMM, and the synthetic-speech fluency is apparently improved under the situation of limited training sentences. In addition, we study a method that co...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2015
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| Online Access: | http://ndltd.ncl.edu.tw/handle/13473931426754293898 |