| Presentation | 2000/12/14 Search in Speech Recognition Toru Imai, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Large-vocabulary continuous speech recognition techniques have greatly advanced in recent years due to the use of statistical acoustic and language models and efficient search methods. With improved CPU speed allowing increased processing complexity, research into both faster and more accurate search methods has been widely pursued. This paper surveys recent research on search techniques and efficient approaches in speech recognition. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | speech recognition / search |
| Paper # | NLC2000-40,SP2000-88 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 2000/12/14(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) | Search in Speech Recognition |
| Sub Title (in English) | |
| Keyword(1) | speech recognition |
| Keyword(2) | search |
| 1st Author's Name | Toru Imai |
| 1st Author's Affiliation | NHK (Japan Broadcasting Corp.) Sci. & Tech. Res. Labs.() |
| Date | 2000/12/14 |
| Paper # | NLC2000-40,SP2000-88 |
| Volume (vol) | vol.100 |
| Number (no) | 520 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |