8th International Conference on Spoken Language Processing

Jeju Island, Korea
October 4-8, 2004

Topic Structure Extraction for Meeting Indexing

Katsutoshi Ohtsuki (1), Nobuaki Hiroshima (1), Yoshihiko Hayashi (2), Katsuji Bessho (1), Shoichi Matsunaga (3)

(1) Nippon Telegraph and Telephone Corporation, Japan
(2) Osaka University, Japan
(3) Nagasaki University, Japan

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.

Full Paper

Bibliographic reference.  Ohtsuki, Katsutoshi / Hiroshima, Nobuaki / Hayashi, Yoshihiko / Bessho, Katsuji / Matsunaga, Shoichi (2004): "Topic structure extraction for meeting indexing", In INTERSPEECH-2004, 305-308.