Topic structure extraction for meeting indexing

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

Research output: Contribution to conferencePaperpeer-review

2 Citations (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.

Original languageEnglish
Number of pages4
Publication statusPublished - 2004
Externally publishedYes
Event8th International Conference on Spoken Language Processing, ICSLP 2004 - Jeju, Jeju Island, Korea, Republic of
Duration: 2004 Oct 42004 Oct 8


Other8th International Conference on Spoken Language Processing, ICSLP 2004
Country/TerritoryKorea, Republic of
CityJeju, Jeju Island

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language


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