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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Trung-Nghia Phung Chi Luong Mai Akagi, M. |
| Copyright Year | 2012 |
| Description | Author affiliation: Japan Advanced Institute of Science and Technology, Ishikawa, Japan (Trung-Nghia Phung; Akagi, M.) || Institute of Information Technology, Hanoi, Vietnam (Chi Luong Mai) |
| Abstract | Quality of unit-based concatenative speech synthesis is low while that of corpus-based concatenative speech synthesis with unit selection is great natural. However, unit selection requires a huge data for concatenation that reduces the range of its applications. In this paper, by using temporal decomposition for modeling contextual effects intra-syllable and inter-syllables, we propose a context-fitting unit modification method and a context-matching unit selection method. The two proposed context-specific methods are used in our proposed syllable-based concatenative speech synthesis applied for monosyllabic languages. The experimental results with a Vietnamese speech synthesis using a small corpus support that the proposed methods are efficient. As a consequence, the naturalness and intelligibility of the proposed speech synthesis is high even when we have only limited data for concatenation. |
| Starting Page | 1 |
| Ending Page | 10 |
| File Size | 749893 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781467348638 |
| e-ISBN | 9780615700502 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-12-03 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | APSIPA |
| Subject Keyword | Context Interpolation Hidden Markov models Speech Speech synthesis Cascading style sheets Context modeling |
| Content Type | Text |
| Resource Type | Article |
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