Extractive Summarization of Voicemail using Lexical and Prosodic Feature Subset Selection
dc.contributor.author
Koumpis, Konstantinos
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dc.contributor.author
Renals, Steve
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dc.contributor.author
Niranjan, Mahesan
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dc.date.accessioned
2006-05-19T15:46:28Z
dc.date.available
2006-05-19T15:46:28Z
dc.date.issued
2001
dc.description.abstract
This paper presents a novel data-driven approach to summarizing spoken audio transcripts utilizing lexical and prosodic features. The former are obtained from a speech recognizer and the latter are extracted automatically from speech waveforms. We employ a feature subset selection algorithm, based on ROC curves, which examines different combinations of features at different target operating conditions. The approach is evaluated on the IBM Voicemail corpus, demonstrating that it is possible and desirable to avoid complete commitment to a single best classifier or feature set.
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dc.format.extent
62417 bytes
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dc.format.mimetype
application/pdf
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dc.identifier.citation
Koumpis, Konstantinos / Renals, Steve / Niranjan, Mahesan (2001): "Extractive summarization of voicemail using lexical and prosodic feature subset selection", In EUROSPEECH-2001, 2377-2380.
dc.identifier.uri
http://www.isca-speech.org/archive/eurospeech_2001/index.html
dc.identifier.uri
http://hdl.handle.net/1842/1145
dc.language.iso
en
dc.publisher
International Speech Communication Association
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dc.title
Extractive Summarization of Voicemail using Lexical and Prosodic Feature Subset Selection
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dc.type
Conference Paper
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