Presentation | 2004/12/13 Speech recognition method based on trajectories generated by Kalman filters Yasuhiro MINAMI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We previously proposed a speech recognition method using trajectory models that unfortunately had some difficulty treating HMMs with Gaussian mixture distributions. Therefore, this paper proposes a new trajectory generation method that extends the use of HMM-trajectory with Gaussian mixture HMMs, generates linear dynamic system models from the HMMs, and then performs switching Kalman filters to generate smooth trajectory with them. Experiments show that the method generates smooth trajectories. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | HMM / Kalman filter / switching Kalman filter / trajectory |
Paper # | NLC2004-49,SP2004-89 |
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Conference Information | |
Committee | NLC |
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Conference Date | 2004/12/13(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 | Natural Language Understanding and Models of Communication (NLC) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Speech recognition method based on trajectories generated by Kalman filters |
Sub Title (in English) | |
Keyword(1) | HMM |
Keyword(2) | Kalman filter |
Keyword(3) | switching Kalman filter |
Keyword(4) | trajectory |
1st Author's Name | Yasuhiro MINAMI |
1st Author's Affiliation | NTT communication science laboratories, NTT corporation() |
Date | 2004/12/13 |
Paper # | NLC2004-49,SP2004-89 |
Volume (vol) | vol.104 |
Number (no) | 538 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |