Improving the Accuracy of Automatic Detection of Emotions From Speech

Computers that can recognize human emotions could react appropriately to a user’s needs and provide more human like interactions.

Some of the applications of emotion recognition:

  • Diagnostic tool for medical purposes
  • Onboard car driving systems to keep the driver alert if stress is detected[1]
  • Similar system in aircraft cockpits
  • Online tutoring

Our contributions:

  • Use new combinations of acoustic feature sets to improve the performance of emotion recognition from speech
  • Provide a comparison of feature sets for detecting different emotions

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