Speaker Characteristics and Emotion Classification

  • Authors:
  • Anton Batliner;Richard Huber

  • Affiliations:
  • Lehrstuhl für Mustererkennung, Universität Erlangen---Nürnberg, Martensstr. 3, 91058 Erlangen, Germany;Sympalog Voice Solutions GmbH, Karl-Zucker-Str. 10, 91052 Erlangen, Germany

  • Venue:
  • Speaker Classification I
  • Year:
  • 2007

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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.