Presentation 1995/12/14
Using Structural Information to Detect Speech Repairs
Peter A. Heeman, Kyung-ho Loken-Kim,
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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.
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Keyword(in English) speech dysfluencies / spoken dialog processing
Paper # NLC95-56,SP95-91
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Conference Information
Committee NLC
Conference Date 1995/12/14(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
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
Date of Issue