Presentation | 2000/1/21 A Study on Network Structure of Lexical Tree Search Jun Ogata, Yasuo Ariki, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose an efficient network structure of lexical tree search, and evaluate the proposed method. At first, we describe some problems about processing time and memory requirments in lexical tree search, and then we discuss on the method to solve these problems. We propose a new type network structure where the word with the best partial score in frame is only linked to the back-off connection. The experimental results showed that this method can reduce about half of the processing time without increasing any errors. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | LVCSR / Lexical tree search / back-off bigram / word graph |
Paper # | SP99-142 |
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Committee | SP |
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Conference Date | 2000/1/21(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 | Speech (SP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Study on Network Structure of Lexical Tree Search |
Sub Title (in English) | |
Keyword(1) | LVCSR |
Keyword(2) | Lexical tree search |
Keyword(3) | back-off bigram |
Keyword(4) | word graph |
1st Author's Name | Jun Ogata |
1st Author's Affiliation | Faculty of Science and Technology, Ryukoku University() |
2nd Author's Name | Yasuo Ariki |
2nd Author's Affiliation | Faculty of Science and Technology, Ryukoku University |
Date | 2000/1/21 |
Paper # | SP99-142 |
Volume (vol) | vol.99 |
Number (no) | 577 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |