| Presentation | 2007/12/13 Speaker Selection for Unsupervised Speaker Adaptation based on HMM Sufficient Statistics Masahiro TANI, Tadashi EMORI, Yoshifumi OHNISHI, Takafumi KOSHINAKA, Koichi SHINODA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We propose a new speaker selection method for the unsupervised speaker adaptation based on HMM sufficient statistics. The adaptation technique of using HMM sufficient statistics has been proposed as one of the rapid unsupervised speaker adaptation techniques in speech recognition. The procedure is as follows : First the training speakers acoustically close to the test speaker are selected. Then, the acoustic model is trained using the HMM sufficient statistics of these selected training speakers. In this technique, the number of selected training speakers is always constant. In our proposed speaker selection method, the number of speakers is determined by the distances between the test speaker and each training speaker. In our recognition experiments using spoken dialogue data, the proposed method improved word accuracy by 0.74 points. It was confirmed that the proposed method particularly effective when there are not many training speakers around the test speaker in acoustic space. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Unsupervised Adaptation / HMM Sufficient Statistics / Speaker Selection |
| Paper # | NLC2007-47,SP2007-110 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 2007/12/13(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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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) | Speaker Selection for Unsupervised Speaker Adaptation based on HMM Sufficient Statistics |
| Sub Title (in English) | |
| Keyword(1) | Unsupervised Adaptation |
| Keyword(2) | HMM Sufficient Statistics |
| Keyword(3) | Speaker Selection |
| 1st Author's Name | Masahiro TANI |
| 1st Author's Affiliation | Central Research Laboratories, NEC Corporation() |
| 2nd Author's Name | Tadashi EMORI |
| 2nd Author's Affiliation | Central Research Laboratories, NEC Corporation |
| 3rd Author's Name | Yoshifumi OHNISHI |
| 3rd Author's Affiliation | Central Research Laboratories, NEC Corporation |
| 4th Author's Name | Takafumi KOSHINAKA |
| 4th Author's Affiliation | Central Research Laboratories, NEC Corporation |
| 5th Author's Name | Koichi SHINODA |
| 5th Author's Affiliation | Graduate School of Information Science and Engineering, Tokyo Institute of Technology |
| Date | 2007/12/13 |
| Paper # | NLC2007-47,SP2007-110 |
| Volume (vol) | vol.107 |
| Number (no) | 405 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |