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Title:Automatic summarization of voicemail messages using lexical and prosodic features
Authors: Steve Renals ; Konstantinos Koumpis
Date:Feb 2005
Publication Title:ACM Transactions on Speech and Language Processing
Publisher:ACM Press
Publication Type:Journal Article Publication Status:Published
Volume No:2(1) Page Nos:1-24
This paper 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 being identified 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.
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Bibtex format
author = { Steve Renals and Konstantinos Koumpis },
title = {Automatic summarization of voicemail messages using lexical and prosodic features},
journal = {ACM Transactions on Speech and Language Processing},
publisher = {ACM Press},
year = 2005,
month = {Feb},
volume = {2(1)},
pages = {1-24},
doi = {10.1145/1075389.1075390},
url = {},

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