Multi-modal Emotion Recognition Using Canonical Correlations and Acoustic Features

@article{Gajsek2010MultimodalER,
  title={Multi-modal Emotion Recognition Using Canonical Correlations and Acoustic Features},
  author={Rok Gajsek and Vitomir Struc and France Mihelic},
  journal={2010 20th International Conference on Pattern Recognition},
  year={2010},
  pages={4133-4136}
}
The information of the psycho-physical state of the subject is becoming a valuable addition to the modern audio or video recognition systems. As well as enabling a better user experience, it can also assist in superior recognition accuracy of the base system. In the article, we present our approach to multi-modal (audio-video) emotion recognition system. For audio sub-system, a feature set comprised of prosodic, spectral and cepstrum features is selected and support vector classifier is used to… CONTINUE READING

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