| Presentation | 2014-01-23 A Study on Hyperparameter Optimization for Speech Synthesis Based on Gaussian Process Regression Tomoki KORIYAMA, Takashi NOSE, Takao KOBAYASHI, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In a statistical parametric speech synthesis framework based on Gaussian process regression, it is important to use an appropriate kernel function. However the parameters of the kernel function, which are hyperparameters of Gaussian processes, were not optimized in our previous work. In this study, we examine hyperparameter optimization algorithm based on an empirical Bayes approach. We show that the proposed method can enhance the predictive likelihood and improve the naturalness of synthesic speech through objective and subjective evaluation results. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | statistical parametric speech synthesis / Gaussian process / hyperparameter / kernel function |
| Paper # | SP2013-99 |
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| Committee | SP |
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| Conference Date | 2014/1/16(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Speech (SP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Hyperparameter Optimization for Speech Synthesis Based on Gaussian Process Regression |
| Sub Title (in English) | |
| Keyword(1) | statistical parametric speech synthesis |
| Keyword(2) | Gaussian process |
| Keyword(3) | hyperparameter |
| Keyword(4) | kernel function |
| 1st Author's Name | Tomoki KORIYAMA |
| 1st Author's Affiliation | Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology() |
| 2nd Author's Name | Takashi NOSE |
| 2nd Author's Affiliation | School of Engineering, Tohoku University |
| 3rd Author's Name | Takao KOBAYASHI |
| 3rd Author's Affiliation | Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology |
| Date | 2014-01-23 |
| Paper # | SP2013-99 |
| Volume (vol) | vol.113 |
| Number (no) | 404 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |