| Presentation | 2005/12/15 Spoken dialogue system robust against speech variations based on massively parallel computing Ryuta NAKAGAWA, Koji IWANO, Sadaoki FURUI, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Robustness of speech recognition increases by preparing models suitable to acoustic and linguistic variations when they can be predicted. This also increases by incrementally adapting the models when the variation is difficult to predict. In order to combine these methods which need huge amount of computation, and implement them in spoken dialogue systems which need real time processing, this paper investigates using a massively parallel computer. Architecture of selecting a recognition result having the maximum likelihood from the results obtained by multiple speech recognizers driven in parallel and running adaptation processes in the background has been implemented on a GRID computing system. In a restaurant information retrieval task, multiple language models representing linguistic variations of input speech according to utterance contents (topics/utterance categories) and multiple speaker-dependent acoustic models representing speaker variations have been used. Results of evaluation experiments using pre-recorded dialogue utterances show that the proposed system achieves 25.5% reduction in the keyword recognition error rate in comparison with a conventional system using a single acoustic as well as language model, when 75 recognition nodes and 15 speaker-adaptation nodes are driven. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | dialogue system / incremental adaptation / massively parallel computer |
| Paper # | NLC2005-72,SP2005-105 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 2005/12/15(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) | Spoken dialogue system robust against speech variations based on massively parallel computing |
| Sub Title (in English) | |
| Keyword(1) | dialogue system |
| Keyword(2) | incremental adaptation |
| Keyword(3) | massively parallel computer |
| 1st Author's Name | Ryuta NAKAGAWA |
| 1st Author's Affiliation | Tokyo Institute of Technology() |
| 2nd Author's Name | Koji IWANO |
| 2nd Author's Affiliation | Tokyo Institute of Technology |
| 3rd Author's Name | Sadaoki FURUI |
| 3rd Author's Affiliation | Tokyo Institute of Technology |
| Date | 2005/12/15 |
| Paper # | NLC2005-72,SP2005-105 |
| Volume (vol) | vol.105 |
| Number (no) | 494 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |