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Multi-class Extractive Voicemail Summarization

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eurospeech03-voicemail.pdf (140.8Kb)
Date
2003
Author
Koumpis, Konstantinos
Renals, Steve
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Abstract
This paper is about a system that extracts principal content words from speech-recognized transcripts of voicemail messages and classifies them into proper names, telephone numbers, dates/times and `other'. 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. The features are selected using Parcel, an ROC-based algorithm. We visually compare the role of a large number of individual features and discuss effective ways to combine them. We finally evaluate their performance on manual and automatic transcriptions derived from two different speech recognition systems.
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http://www.isca-speech.org/archive/eurospeech_2003/index.html

http://hdl.handle.net/1842/1092
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