Incorporating Speaker and Discourse Features into Speech Summarization

Gabriel Murray; Steve Renals; Jean Carletta; Johanna Moore

Incorporating Speaker and Discourse Features into Speech Summarization

Gabriel Murray, Steve Renals, Jean Carletta, Johanna Moore

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We have explored the usefulness of incorporating speech and discourse features in an automatic speech summarization system applied to meeting recordings from the ICSI Meetings corpus. By analyzing speaker activity, turn-taking and discourse cues, we hypothesize that such a system can outperform solely text-based methods inherited from the field of text summarization. The summarization methods are described, two evaluation methods are applied and compared, and the results clearly show that utilizing such features is advantageous and efficient. Even simple methods relying on discourse cues and speaker activity can outperform text summarization approaches.

Original language	English
Title of host publication	Proceedings of the Human Language Technology Conference of the NAACL, Main Conference
Place of Publication	New York City, USA
Publisher	Association for Computational Linguistics
Pages	367-374
Number of pages	8
Publication status	Published - 1 Jun 2006

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N06-1047Final published version, 96 KB

http://www.aclweb.org/anthology/N/N06/N06-1047

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title = "Incorporating Speaker and Discourse Features into Speech Summarization",

abstract = "We have explored the usefulness of incorporating speech and discourse features in an automatic speech summarization system applied to meeting recordings from the ICSI Meetings corpus. By analyzing speaker activity, turn-taking and discourse cues, we hypothesize that such a system can outperform solely text-based methods inherited from the field of text summarization. The summarization methods are described, two evaluation methods are applied and compared, and the results clearly show that utilizing such features is advantageous and efficient. Even simple methods relying on discourse cues and speaker activity can outperform text summarization approaches.",

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Incorporating Speaker and Discourse Features into Speech Summarization. / Murray, Gabriel; Renals, Steve; Carletta, Jean; Moore, Johanna.

Proceedings of the Human Language Technology Conference of the NAACL, Main Conference. New York City, USA : Association for Computational Linguistics, 2006. p. 367-374.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - We have explored the usefulness of incorporating speech and discourse features in an automatic speech summarization system applied to meeting recordings from the ICSI Meetings corpus. By analyzing speaker activity, turn-taking and discourse cues, we hypothesize that such a system can outperform solely text-based methods inherited from the field of text summarization. The summarization methods are described, two evaluation methods are applied and compared, and the results clearly show that utilizing such features is advantageous and efficient. Even simple methods relying on discourse cues and speaker activity can outperform text summarization approaches.

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