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Multi-class Extractive Voicemail Summarization

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProceedings of the 8th European Conference on Speech Communication and Technology
Subtitle of host publicationEurospeech 2003 - Interspeech 2003
PublisherISCA
Pages2785-2788
Number of pages4
Publication statusPublished - 2003
Event8th European Conference on Speech Communication and Technology (Eurospeech 2003) - Geneva, Switzerland
Duration: 1 Sep 20034 Sep 2003

Conference

Conference8th European Conference on Speech Communication and Technology (Eurospeech 2003)
CountrySwitzerland
CityGeneva
Period1/09/034/09/03

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.

Event

8th European Conference on Speech Communication and Technology (Eurospeech 2003)

1/09/034/09/03

Geneva, Switzerland

Event: Conference

ID: 27433396