Presentation	2006/12/15 Intelligent Transcription using Spontaneous Speech Processing Tatsuya KAWAHARA,
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Abstract(in English)	With improvement of the spontaneous speech recognition technology, semi-automatic generation of transcripts or document records of lectures and meetings has become one of its promising applications. For this purpose, we need to take into account post-processing that includes cleaning of verbatim transcripts and segmentation into sentence/paragraph units. This article first gives a brief overview of major research activities on spontaneous speech processing, followed by the proposed statistical framework of an intelligent transcription system. Then, several approaches to sentence unit detection and disfluency detection are described. Finally, future works are discussed.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	speech recognition / spontaneous speech processing / rich transcription
Paper #	NLC2006-64,SP2006-120
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Conference Information
Committee	NLC
Conference Date	2006/12/15(1days)
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Paper Information
Registration To	Natural Language Understanding and Models of Communication (NLC)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Intelligent Transcription using Spontaneous Speech Processing
Sub Title (in English)
Keyword(1)	speech recognition
Keyword(2)	spontaneous speech processing
Keyword(3)	rich transcription
1st Author's Name	Tatsuya KAWAHARA
1st Author's Affiliation	Kyoto University, School of Informatics()
Date	2006/12/15
Paper #	NLC2006-64,SP2006-120
Volume (vol)	vol.106
Number (no)	442
Page	pp.pp.-
#Pages	6
Date of Issue