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INTERSPEECH
2010

Exploring speaker characteristics for meeting summarization

8 years 6 months ago
Exploring speaker characteristics for meeting summarization
In this paper, we investigate using meeting-specific characteristics to improve extractive meeting summarization, in particular, speaker-related attributes (such as verboseness, gender, native language, role in the meeting). A rich set of speaker-sensitive features are developed in the supervised learning framework. We perform experiments on the ICSI meeting corpus. Results are evaluated using multiple criteria, including ROUGE, a sentence-level F-measure, and an approximated Pyramid approach. We show that incorporating speaker characteristics can consistently improve summarization performance on various testing conditions.
Fei Liu, Yang Liu
Added 18 May 2011
Updated 18 May 2011
Type Journal
Year 2010
Where INTERSPEECH
Authors Fei Liu, Yang Liu
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