"Of all things the measure is man" automatic classification of emotions and inter-labeler consistency [speech-based emotion recognition]

@article{Steidl2005OfAT,
  title={"Of all things the measure is man" automatic classification of emotions and inter-labeler consistency [speech-based emotion recognition]},
  author={Stefan Steidl and Michael Levit and Anton Batliner and Elmar N{\"o}th and Heinrich Niemann},
  journal={Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.},
  year={2005},
  volume={1},
  pages={I/317-I/320 Vol. 1}
}
In traditional classification problems, the reference needed for training a classifier is given and considered to be absolutely correct. However, this does not apply to all tasks. In emotion recognition in non-acted speech, for instance, one often does not know which emotion was really intended by the speaker. Hence, the data is annotated by a group of human labelers who do not agree on one common class in most cases. Often, similar classes are confused systematically. We propose a new entropy… CONTINUE READING
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