Assessment of different feature extraction methods for discriminating expressed emotions during music performance towards bcmi application

HIGHLIGHTS

SUMMARY

    It has been shown that brain activity during the perception of emotions induced by music-listening differs from that involved in the creative expression of emotion through music performance; moreover, it is possible that music performers experience different emotions than what they are trying to express through the performance. MSC-based features showed best outcomes for feature labeling of Arousal, Valence, and emotional conditions (for example using the Non-normalized features, 84.84% of actual Depressed data was classified as Depressed, while only 4.19%, 1.61%, 5.16%, and 4.19% were falsely . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?