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TSA.2004.828701.pdf347.3 kBAdobe PDF見る/開く
タイトル: Automatic Indexing of Lecture Presentations Using Unsupervised Learning of Presumed Discourse Markers
著者: Kawahara, T.  kyouindb  KAKEN_id
Hasegawa, M.
Shitaoka, K.
Kitade, T.
Nanjo, H.
著者名の別形: 河原, 達也
発行日: Jul-2004
出版者: IEEE
誌名: IEEE Transactions on Speech and Audio Processing
巻: 12
号: 4
開始ページ: 409
終了ページ: 419
抄録: A new method for automatic detection of section boundaries and extraction of key sentences from lecture audio archives is proposed. The method makes use of 'discourse markers' (DMs), which are characteristic expressions used in initial utterances of sections, together with pause and language model information. The DMs are derived in a totally unsupervised manner based on word statistics. An experimental evaluation using the Corpus of Spontaneous Japanese (CSJ) demonstrates that the proposed method provides better indexing of section boundaries compared with a simple baseline method using pause information only, and that it is robust against speech recognition errors. The method is also applied to extraction of key sentences that can index the section topics. The statistics of the presumed DMs are used to define the importance of sentences, which favors potentially section-initial ones. The measure is also combined with the conventional tf-idf measure based on content words. Experimental results confirm the effectiveness of using the DMs in combination with the keyword-based method. The paper also describes a statistical framework for transforming raw speech transcriptions into the document style for defining appropriate sentence units and improving readability.
著作権等: © 2004 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
URI: http://hdl.handle.net/2433/128904
DOI(出版社版): 10.1109/TSA.2004.828701
出現コレクション:学術雑誌掲載論文等

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