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Emotion Recognition with Poincare Mapping of Voiced-Speech Segments of Utterances

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Artificial Intelligence and Soft Computing – ICAISC 2008 (ICAISC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5097))

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Abstract

The following paper introduces a set of novel descriptors of emotional speech, which allows for a significant increase in emotion classification performance. The proposed characteristics - statistical properties of Poincare Maps, derived for voiced-speech segments of utterances - are used in recognition in combinations with a variety of both commonly used and some other, original descriptors of emotional speech. The introduced features proved to provide useful information into a classification process. Emotion recognition is performed using binary decision trees, which perform extraction of different emotions at consecutive decision levels. Classification rates for the considered six-category problem, which involved anger, boredom, joy, fear, neutral and sadness, are at the level up to 79% for both speaker-dependent and speaker-independent cases.

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Authors and Affiliations

  1. Institute of Electronics, Technical University of Lodz, Wolczanska 211/215, 90-924, Lodz, Poland

    Krzysztof Ślot, Jaroslaw Cichosz & Lukasz Bronakowski

Authors
  1. Krzysztof Ślot
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  2. Jaroslaw Cichosz
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  3. Lukasz Bronakowski
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Leszek Rutkowski Ryszard Tadeusiewicz Lotfi A. Zadeh Jacek M. Zurada

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© 2008 Springer-Verlag Berlin Heidelberg

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Ślot, K., Cichosz, J., Bronakowski, L. (2008). Emotion Recognition with Poincare Mapping of Voiced-Speech Segments of Utterances. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2008. ICAISC 2008. Lecture Notes in Computer Science(), vol 5097. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69731-2_84

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  • DOI: https://doi.org/10.1007/978-3-540-69731-2_84

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69572-1

  • Online ISBN: 978-3-540-69731-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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