抄録
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.
本文言語 | English |
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ページ | 305-308 |
ページ数 | 4 |
出版ステータス | Published - 2004 |
外部発表 | はい |
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 4 → 2004 10月 8 |
Other
Other | 8th International Conference on Spoken Language Processing, ICSLP 2004 |
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国/地域 | Korea, Republic of |
City | Jeju, Jeju Island |
Period | 04/10/4 → 04/10/8 |
ASJC Scopus subject areas
- 言語および言語学
- 言語学および言語