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Please use this identifier to cite or link to this item: http://hdl.handle.net/1842/1092

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Title: Multi-class Extractive Voicemail Summarization
Authors: Koumpis, Konstantinos
Renals, Steve
Issue Date: 2003
Citation: Koumpis, Konstantinos / Renals, Steve (2003): "Multi-class extractive voicemail summarization", In EUROSPEECH-2003, 2785-2788.
Publisher: International Speech Communication Association
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.
Keywords: Speech Recognition
URI: http://www.isca-speech.org/archive/eurospeech_2003/index.html
http://hdl.handle.net/1842/1092
Appears in Collections:CSTR publications

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