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Extractive Summarization of Meeting Recordings

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

Original languageEnglish
Title of host publication9th European Conference on Speech Communication and Technology (Interspeech 2005 - Eurospeech)
Pages593-596
Number of pages4
Publication statusPublished - 2005
Event9th European Conference on Speech Communication and Technology (Interspeech 2005 - Eurospeech) - Lisbon, Portugal
Duration: 4 Sep 20058 Sep 2005

Conference

Conference9th European Conference on Speech Communication and Technology (Interspeech 2005 - Eurospeech)
CountryPortugal
CityLisbon
Period4/09/058/09/05

Abstract

Several approaches to automatic speech summarization are discussed below, using the ICSI Meetings corpus. We contrast feature-based approaches using prosodic and lexical features with maximal marginal relevance and latent semantic analysis approaches to summarization. While the latter two techniques are borrowed directly from the field of text summarization, featurebased approaches using prosodic information are able to utilize characteristics unique to speech data. We also investigate how the summarization results might deteriorate when carried out on ASR output as opposed to manual transcripts. All of the summaries are of an extractive variety, and are compared using the software ROUGE.

ID: 26533046