| Presentation | 2014-12-16 Voice Conversion Using Speaker Adaptive Restricted Boltzmann Machine Toru NAKASHIKA, Tetsuya TAKIGUCHI, Yasuo ARIKI, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Voice conversion (VC) is a technique where only speaker-specific information in source speech is converted while keeping phonological information. The technique can be applied to various tasks such as speaker-identity conversion, emotion conversion and aid to speaking for people with articulation disorders. Most of the existing VC methods rely on parallel data-pairs of speech data from source and target speakers uttering the same articles. However, this approach involves several problems; firstly, the data used for the training is limited to the pre-defined articles. Secondly, the use of the trained model is limited only to the speaker pair used in the training. In this paper, we propose a novel probabilistic model called an adaptive restricted Boltzmann machine (ARBM) for VC between arbitrary speakers without use of parallel data. This model consists of a visible-unit and a hidden-unit layer with the speaker-dependent connection. In this paper, we report our experimental results of arbitrary-speaker VC using our model, an ARBM. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Voice conversion / restricted Boltzmann machine / speaker adaptation / non-parallel training |
| Paper # | SP2014-126 |
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| Conference Information | |
| Committee | SP |
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| Conference Date | 2014/12/8(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| 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) | Voice Conversion Using Speaker Adaptive Restricted Boltzmann Machine |
| Sub Title (in English) | |
| Keyword(1) | Voice conversion |
| Keyword(2) | restricted Boltzmann machine |
| Keyword(3) | speaker adaptation |
| Keyword(4) | non-parallel training |
| 1st Author's Name | Toru NAKASHIKA |
| 1st Author's Affiliation | Graduate School of System Informatics, Kobe University() |
| 2nd Author's Name | Tetsuya TAKIGUCHI |
| 2nd Author's Affiliation | Organization of Advanced Science and Technology, Kobe University |
| 3rd Author's Name | Yasuo ARIKI |
| 3rd Author's Affiliation | Organization of Advanced Science and Technology, Kobe University |
| Date | 2014-12-16 |
| Paper # | SP2014-126 |
| Volume (vol) | vol.114 |
| Number (no) | 365 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |