Topic structure extraction for meeting indexing

Katsuji Bessho, Katsutoshi Ohtsuki, Nobuaki Hiroshima, Shoichi Matsunaga, Yoshihiko Hayashi

研究成果: Paper査読

2 被引用数 (Scopus)


This paper describes a system that automatically generates meeting minutes by extracting a topic hierarchy from a meeting's speech. The topic hierarchy is a tree structure whose nodes comprise a topic summary. The topic structure extraction process converts speech recognition results into a word conceptual vector sequence and divides the sequence into the topic segments (topic segmentation). It classifies the topic segments hierarchically (segment clustering). Experimental results show that for the transcription of a meeting, the proposed algorithm is useful. Experiments on the transcription of a televised debate showed that the proposed topic segmentation algorithm is superior to the conventional method using local word frequency vectors. We also discuss experiments on the speech recognition results for the televised debate.

出版ステータスPublished - 2004
イベント8th International Conference on Spoken Language Processing, ICSLP 2004 - Jeju, Jeju Island, Korea, Republic of
継続期間: 2004 10月 42004 10月 8


Other8th International Conference on Spoken Language Processing, ICSLP 2004
国/地域Korea, Republic of
CityJeju, Jeju Island

ASJC Scopus subject areas

  • 言語および言語学
  • 言語学および言語


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