Presentation | 1995/12/14 Using Structural Information to Detect Speech Repairs Peter A. Heeman, Kyung-ho Loken-Kim, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Previous approach to detecting and correcting speech repairs have for the most part separated these two problems. In this paper, we present a statistical model of speech repairs that uses information about the postulated repair structure (correction) to help decide whether a speech repair actually occurred. By better modeling the interactions between detection and correction, we are able to improve our detection results. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | speech dysfluencies / spoken dialog processing |
Paper # | NLC95-56,SP95-91 |
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Conference Information | |
Committee | NLC |
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Conference Date | 1995/12/14(1days) |
Place (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) | Using Structural Information to Detect Speech Repairs |
Sub Title (in English) | |
Keyword(1) | speech dysfluencies |
Keyword(2) | spoken dialog processing |
1st Author's Name | Peter A. Heeman |
1st Author's Affiliation | ATR Interpreting Telecommunications Research Laboratories() |
2nd Author's Name | Kyung-ho Loken-Kim |
2nd Author's Affiliation | ATR Interpreting Telecommunications Research Laboratories |
Date | 1995/12/14 |
Paper # | NLC95-56,SP95-91 |
Volume (vol) | vol.95 |
Number (no) | 428 |
Page | pp.pp.- |
#Pages | 8 |
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