| Presentation | 2002/12/12 Language Model Switching Based on Topic Detection for Dialog Speech Recognition Ian R. LANE, Tatsuya KAWAHARA, Tomoko MATSUI, Satoshi NAKAMURA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | An efficient, scalable speech recognition architecture is proposed for multi-domain dialog systems by combining topic detection and topic-dependent language modeling. The inferred domain is automatically detected from the user's utterance, and speech recognition is then pefformed with an appropriate domain-dependent language model. The architecture improves accuracy and efficiency over current approaches and is scaleable to a large number of domains. In this paper, unigram likelihood and SVM based topic detection methods are compared. A novel framework using a multi-layer hierarchy of language models is also introduced in order to improve robustness against topic detection errors. The proposed system provides a relative reduction in WER of 10.3% over a single language model system. Furthermore, it achieves an accuracy that is comparable to using multiple language models in parallel while requiring only a fraction of the computational cost. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Speech Recognition / Dialog Speech / Topic Detection / Support Vector Machines / Multi-domain Dialog Systems |
| Paper # | SP2002-145 |
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| Conference Information | |
| Committee | SP |
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| Conference Date | 2002/12/12(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 | Speech (SP) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Language Model Switching Based on Topic Detection for Dialog Speech Recognition |
| Sub Title (in English) | |
| Keyword(1) | Speech Recognition |
| Keyword(2) | Dialog Speech |
| Keyword(3) | Topic Detection |
| Keyword(4) | Support Vector Machines |
| Keyword(5) | Multi-domain Dialog Systems |
| 1st Author's Name | Ian R. LANE |
| 1st Author's Affiliation | School of Informatics, Kyoto University:ATR Spoken Language Translation Laboratories() |
| 2nd Author's Name | Tatsuya KAWAHARA |
| 2nd Author's Affiliation | School of Informatics, Kyoto University:ATR Spoken Language Translation Laboratories |
| 3rd Author's Name | Tomoko MATSUI |
| 3rd Author's Affiliation | ATR Spoken Language Translation Laboratories |
| 4th Author's Name | Satoshi NAKAMURA |
| 4th Author's Affiliation | ATR Spoken Language Translation Laboratories |
| Date | 2002/12/12 |
| Paper # | SP2002-145 |
| Volume (vol) | vol.102 |
| Number (no) | 529 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |