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Speaker Characteristics and Emotion Classification

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Speaker Classification I

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

Abstract

In this paper, we address the — interrelated — problems of speaker characteristics (personalization) and suboptimal performance of emotion classification in state-of-the-art modules from two different points of view: first, we focus on a specific phenomenon (irregular phonation or laryngealization) and argue that its inherent multi-functionality and speaker-dependency makes its use as feature in emotion classification less promising than one might expect. Second, we focus on a specific application of emotion recognition in a voice portal and argue that constraints on time and budget often prevent the implementation of an optimal emotion recognition module.

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Author information

Authors and Affiliations

  1. Lehrstuhl für Mustererkennung, Universität Erlangen–Nürnberg, Martensstr. 3, 91058 Erlangen, Germany

    Anton Batliner

  2. Sympalog Voice Solutions GmbH, Karl-Zucker-Str. 10, 91052 Erlangen, Germany

    Richard Huber

Authors
  1. Anton Batliner
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  2. Richard Huber
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Christian Müller

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© 2007 Springer-Verlag Berlin Heidelberg

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Batliner, A., Huber, R. (2007). Speaker Characteristics and Emotion Classification. 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_7

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  • DOI: https://doi.org/10.1007/978-3-540-74200-5_7

  • 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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