Presentation 2002/12/13
Automatic speech summarization based on sentence extraction and compaction
Tomonori KIKUCHI, Sadaoki FURUI, Chiori HORI,
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Abstract(in English) This paper proposes a new automatic speech summarization method having two stages: important sentence extraction and sentence compaction. Relatively important sentences are extracted based on the amount of information and the confidence measures of constituent words, and the set of extracted sentences is compressed by our sentence compaction method. The sentence compaction is performed by selecting a word set that maximizes a summarization score consisting of the amount of information and the confidence measure of each word, the linguistic likelihood of word strings, and the word concatenation probability. The selected words are concatenated to create a summary. Effectiveness of the proposed method was confirmed by summarizing spontaneous presentations.
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Keyword(in English) Spontaneous speech / presentation speech / automatic speech summarization / sentence extraction / word extraction
Paper # NLC2002-81
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Committee NLC
Conference Date 2002/12/13(1days)
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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) Automatic speech summarization based on sentence extraction and compaction
Sub Title (in English)
Keyword(1) Spontaneous speech
Keyword(2) presentation speech
Keyword(3) automatic speech summarization
Keyword(4) sentence extraction
Keyword(5) word extraction
1st Author's Name Tomonori KIKUCHI
1st Author's Affiliation Department of Computer Science, Tokyo Institute of Technology()
2nd Author's Name Sadaoki FURUI
2nd Author's Affiliation Department of Computer Science, Tokyo Institute of Technology
3rd Author's Name Chiori HORI
3rd Author's Affiliation NTT Communication Science Laboratories
Date 2002/12/13
Paper # NLC2002-81
Volume (vol) vol.102
Number (no) 528
Page pp.pp.-
#Pages 6
Date of Issue