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Title: Automatic summarization of voicemail messages using lexical and prosodic features
Authors: Koumpis, Konstantinos
Renals, Steve
Issue Date: Feb-2005
Citation: ACM Transactions on Speech and Language Processing (TSLP). Volume 2 , Issue 1 (February 2005)
Publisher: ACM Press. New York, NY, USA
Abstract: This article presents trainable methods for extracting principal content words from voicemail messages. The short text summaries generated are suitable for mobile messaging applications. The system uses a set of classifiers to identify the summary words with each word described by a vector of lexical and prosodic features. We use an ROC-based algorithm, Parcel, to select input features (and classifiers). We have performed a series of objective and subjective evaluations using unseen data from two different speech recognition systems as well as human transcriptions of voicemail speech.
Keywords: Voicemail
automatic summarization
feature subset selection
prosody
receiver operating characteristic
short message service
URI: http://doi.acm.org/10.1145/1075389.1075390
http://hdl.handle.net/1842/1036
ISSN: 1550-4875
Appears in Collections:CSTR publications

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