Information Services banner Edinburgh Research Archive The University of Edinburgh crest

Edinburgh Research Archive >
Centre for Speech Technology Research >
CSTR publications >

Please use this identifier to cite or link to this item:

This item has been viewed 22 times in the last year. View Statistics

Files in This Item:

File Description SizeFormat
tslp05.pdf287.03 kBAdobe PDFView/Open kBGzipped PostScriptView/Open
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
receiver operating characteristic
short message service
ISSN: 1550-4875
Appears in Collections:CSTR publications

Items in ERA are protected by copyright, with all rights reserved, unless otherwise indicated.


Valid XHTML 1.0! Unless explicitly stated otherwise, all material is copyright © The University of Edinburgh 2013, and/or the original authors. Privacy and Cookies Policy