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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shanfeng Liu Zhengqi Wen Ya Li Jianghua Tao Bin Liu |
| Copyright Year | 2014 |
| Description | Author affiliation: Nat. Lab. of Pattern Recognition, Inst. of Autom., Beijing, China (Shanfeng Liu; Zhengqi Wen; Ya Li; Jianghua Tao; Bin Liu) |
| Abstract | How to generate natural-sounding synthesized speech has been challenging all the researchers in speech synthesis area. Experiments show that speech concatenated by units selected from large speech corpus has a better performance. However how to limit the searching space and predict weights when calculating target cost is an important problem. This paper presents a detailed hierarchical pre-selection method to limit the searching of space. After three layers of pre-selection, a set of units are selected as the candidate units. In order to ensure the continuity in the duration, the prediction model is used in the hierarchical pre-selection. Meanwhile, M5P algorithm which is combined with decision tree and regression is presented in this paper to predict weights needed in target cost calculation. Experimental result shows that these two approaches can generate high quality speech. |
| Starting Page | 506 |
| Ending Page | 510 |
| File Size | 214750 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479942190 |
| DOI | 10.1109/ISCSLP.2014.6936611 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-09-12 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Context Databases weight prediction concatenation speech synthesis Predictive models hierarchical pre-selection Speech Prediction algorithms Acoustics Speech synthesis |
| Content Type | Text |
| Resource Type | Article |
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