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Application of Speaker Classification in Human Machine Dialog Systems

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Speaker Classification I

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4343))

Abstract

This chapter deals with the application of automatic speaker classification in human machine dialog systems based on telephone operation. In a first step we introduce a taxonomy based on three features that such systems might have. We explain the features, namely online, mirroring, critical and their respective counterparts get explicated and are than used to characterize a part of the exemplary applications that illustrate the benefit of that approach. Furthermore prototypical application scenarios are described that shall illustrate the vast possibilities to utilize automated speaker classification in dialog applications.

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References

  1. Batliner, A., Burkhardt, F., van Ballegooy, M., Nöth, E.: A Taxonomy of Applications that Utilize Emotional Awareness. In: Erjavec, T., Gros, J. (eds.) Language Technologies, IS-LTC 2006, Ljubljana, Slovenia, Infornacijska Druzba (Information Society), pp. 246–250 (2006)

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  2. Picard, R.: Affective Computing: Challenges. Journal of Human-Computer Studies 59, 55–64 (2003)

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  3. Burkhardt, F., van Ballegooy, M., Englert, R., Huber, R.: An emotion-aware voice portal. In: Proc. Electronic Speech Signal Processing ESSP, pp. 123–131 (2005)

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Christian Müller

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© 2007 Springer-Verlag Berlin Heidelberg

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Burkhardt, F., Huber, R., Batliner, A. (2007). Application of Speaker Classification in Human Machine Dialog Systems. In: Müller, C. (eds) Speaker Classification I. Lecture Notes in Computer Science(), vol 4343. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74200-5_9

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  • DOI: https://doi.org/10.1007/978-3-540-74200-5_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74186-2

  • Online ISBN: 978-3-540-74200-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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