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2008
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Rhetorical-State Hidden Markov Models for extractive speech summarization

10 years 3 months ago
Rhetorical-State Hidden Markov Models for extractive speech summarization
We propose an extractive summarization system with a novel non-generative probabilistic framework for speech summarization. One of the most underutilized features in extractive summarization is rhetorical information – semantically cohesive units that are hidden in spoken documents. We propose Rhetorical-State Hidden Markov Models (RSHMMs) to automatically decode this underlying
Pascale Fung, Ricky Ho Yin Chan, Justin Jian Zhang
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICASSP
Authors Pascale Fung, Ricky Ho Yin Chan, Justin Jian Zhang
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