Automatic speech classification to five emotional states based on gender information

@article{Ververidis2004AutomaticSC,
  title={Automatic speech classification to five emotional states based on gender information},
  author={Dimitrios Ververidis and Constantine Kotropoulos},
  journal={2004 12th European Signal Processing Conference},
  year={2004},
  pages={341-344}
}
Emotional speech recognition aims to automatically classify speech units (e.g., utterances) into emotional states, such as anger, happiness, neutral, sadness and surprise. The major contribution of this paper is to rate the discriminating capability of a set of features for emotional speech recognition when gender information is taken into consideration. A total of 87 features has been calculated over 500 utterances of the Danish Emotional Speech database. The Sequential Forward Selection… CONTINUE READING
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