Name
Abstract | ||
|---|---|---|
The important role of the valence and arousal dimensions in representing and recognizing affective qualities in music is well established. There is less evidence for the contribution of secondary dimensions such as potency, tension and energy. In particular, previous studies failed to find significant relations between computable musical features and affective dimensions other than valence and aro... |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TAFFC.2014.2343222 | IEEE Transactions on Affective Computing |
Keywords | Field | DocType |
Music,Stress,Emotion recognition,Physiology,Music information retrieval,User interfaces | Social psychology,Arousal,Loudness,Music information retrieval,Classical music,Music and emotion,Musical,Cognitive psychology,Psychology,Correlation,Affect (psychology) | Journal |
Volume | Issue | ISSN |
5 | 4 | 1949-3045 |
Citations | PageRank | References |
6 | 0.51 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonio Rodà | 1 | 61 | 14.61 |
| Sergio Canazza | 2 | 101 | 30.33 |
| Giovanni De Poli | 3 | 187 | 38.71 |