Primitives-based evaluation and estimation of emotions in speech

@article{Grimm2007PrimitivesbasedEA,
  title={Primitives-based evaluation and estimation of emotions in speech},
  author={Michael Grimm and Kristian Kroschel and Emily Mower Provost and Shrikanth Narayanan},
  journal={Speech Communication},
  year={2007},
  volume={49},
  pages={787-800}
}
Emotion primitive descriptions are an important alternative to classical emotion categories for describing a human’s affective expressions. We build a multi-dimensional emotion space composed of the emotion primitives of valence, activation, and dominance. In this study, an image-based, text-free evaluation system is presented that provides intuitive assessment of these emotion primitives, and yields high inter-evaluator agreement. An automatic system for estimating the emotion primitives is… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 40 references

Statistische Informationstheorie: Signal- und Mustererkennung, Parameter- und Signalschätzung, fourth ed

  • K. Kroschel
  • 2004
Highly Influential
4 Excerpts

The prosody of authentic emotions

  • R. Kehrein
  • Proc. Speech Prosody Conference,
  • 2002
Highly Influential
4 Excerpts

Einsatz von Fuzzy Logic zur Erkennung von Emotionen in der Sprache, Studienarbeit, Universität Karlsruhe (TH), Germany

  • C. Hernandez
  • 2005
Highly Influential
5 Excerpts

Evaluierung von natürlichen Emotionen in Sprachsignalen

  • M. Grimm, K. Kroschel
  • Proceedings 31. Deutsche Jahrestagung für…
  • 2005
Highly Influential
7 Excerpts

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