| Presentation | 2010-12-21 A Voice Conversion Method Using Individuality of Sound Source Akihito UEMURA, Jun TOYAMA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we describe a novel source conversion method for voice conversion. Toda et al. proposed voice conversion based on maximum likelihood estimation of spectral parameter trajectory. This method uses only vocal tract related parameters and dose not use source features. We treat the residuals of linear predictive coding as source signal to represent a target speaker individuality. Objective experimental results indicate that the power spectrum of the speech converted by our method is similar to a target speaker's one. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | voice conversion / source features / linear predictive coding error |
| Paper # | NLC2010-26,SP2010-99 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 2010/12/13(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Natural Language Understanding and Models of Communication (NLC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Voice Conversion Method Using Individuality of Sound Source |
| Sub Title (in English) | |
| Keyword(1) | voice conversion |
| Keyword(2) | source features |
| Keyword(3) | linear predictive coding error |
| 1st Author's Name | Akihito UEMURA |
| 1st Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University() |
| 2nd Author's Name | Jun TOYAMA |
| 2nd Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University |
| Date | 2010-12-21 |
| Paper # | NLC2010-26,SP2010-99 |
| Volume (vol) | vol.110 |
| Number (no) | 356 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |