Automatic spoken affect classification and analysis

@article{Roy1996AutomaticSA,
  title={Automatic spoken affect classification and analysis},
  author={D. Roy and A. Pentland},
  journal={Proceedings of the Second International Conference on Automatic Face and Gesture Recognition},
  year={1996},
  pages={363-367}
}
  • D. Roy, A. Pentland
  • Published 1996
  • Computer Science
  • Proceedings of the Second International Conference on Automatic Face and Gesture Recognition
  • This paper reports results from preliminary experiments on automatic classification of spoken affect valence. The task was to classify short spoken sentences into one of two classes: approving or disapproving. Using an optimal combination of six acoustic measurements our classifier achieved an accuracy of 65% to 88% for speaker dependent, text-independent classification. The results suggest that pitch and energy measurements may be used to automatically classify spoken affect valence but more… CONTINUE READING
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