| Presentation | 2009-01-30 Mixture of Probabilistic Linear Regressions for Voice Conversion Yu QIAO, Daisuke SAITO, Nobuaki MINEMATSU, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper introduces a model of Mixture of Probabilistic Linear Regressions (MPLR) to learn a mapping function between two feature spaces. The MPLR consists of weighted combination of several probabilistic linear regressions, whose parameters are estimated by using matrix calculation. The mixture nature of MPLR allows it to model nonlinear transformation. T he formulation of MPLR is general and independent of the types of the density models used. Two well-known GMM-based mapping methods for voice conversion [1],[2] can be regarded as the special cases of MPLR. This unified view not only provides insights to the GMM-based mapping techniques, but also indicates methods to improve them. Compared to [1], our formulation of MPLR avoids solving complex linear equations and yields a faster estimation of the transform parameters. As for [2], the MPLR estimation provides a modified mapping function which overcomes an implicit problem in [2]'s mapping function. We carried out experiments to compare the MPLR-based methods with the traditional GMM-based methods [1],[2] on a voice conversion task. The experimental results show that the MPLR-based methods always have better performance in various parameter setups. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Space mapping / non-linear transform / mixture model / linear regression / voice conversion |
| Paper # | SP2008-139 |
| Date of Issue |
| Conference Information | |
| Committee | SP |
|---|---|
| Conference Date | 2009/1/22(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Speech (SP) |
|---|---|
| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Mixture of Probabilistic Linear Regressions for Voice Conversion |
| Sub Title (in English) | |
| Keyword(1) | Space mapping |
| Keyword(2) | non-linear transform |
| Keyword(3) | mixture model |
| Keyword(4) | linear regression |
| Keyword(5) | voice conversion |
| 1st Author's Name | Yu QIAO |
| 1st Author's Affiliation | Grad. School of Engineering, Univ. of Tokyo() |
| 2nd Author's Name | Daisuke SAITO |
| 2nd Author's Affiliation | Grad. School of Engineering, Univ. of Tokyo |
| 3rd Author's Name | Nobuaki MINEMATSU |
| 3rd Author's Affiliation | Grad. School of Engineering, Univ. of Tokyo |
| Date | 2009-01-30 |
| Paper # | SP2008-139 |
| Volume (vol) | vol.108 |
| Number (no) | 422 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |