Extractive Summarization of Meeting Recordings

Gabriel Murray, Steve Renals, Jean Carletta

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

Abstract / Description of output

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.
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 Sept 20058 Sept 2005

Conference

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

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