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Hypothesis Generation and Maintenance in the Interpretation of Spoken Utterances

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AI 2007: Advances in Artificial Intelligence (AI 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4830))

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Abstract

The DORIS project (Dialogue Oriented Roaming Interactive System) aims to develop a spoken dialogue module for an autonomous robotic agent. This paper examines the techniques used by Scusi?, the speech interpretation component of DORIS, to postulate and assess hypotheses regarding the meaning of a spoken utterance. The results of our evaluation are encouraging, yielding good interpretation performance for utterances of different types and lengths.

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Mehmet A. Orgun John Thornton

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© 2007 Springer-Verlag Berlin Heidelberg

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Niemann, M., Zukerman, I., Makalic, E., George, S. (2007). Hypothesis Generation and Maintenance in the Interpretation of Spoken Utterances. In: Orgun, M.A., Thornton, J. (eds) AI 2007: Advances in Artificial Intelligence. AI 2007. Lecture Notes in Computer Science(), vol 4830. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76928-6_48

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  • DOI: https://doi.org/10.1007/978-3-540-76928-6_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76926-2

  • Online ISBN: 978-3-540-76928-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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