Name
Abstract | ||
|---|---|---|
This paper describes audEERINGu0027s submissions as well as additional evaluations for the One-Minute-Gradual (OMG) emotion recognition challenge. We provide the results for audio and video processing on subject (in)dependent evaluations. On the provided Development set, we achieved 0.343 Concordance Correlation Coefficient (CCC) for arousal (from audio) and .401 for valence (from video). |
Year | Venue | Field |
|---|---|---|
2018 | arXiv: Computer Vision and Pattern Recognition | Arousal,Video processing,Pattern recognition,Emotion recognition,Computer science,Concordance correlation coefficient,Speech recognition,Artificial intelligence |
DocType | Volume | Citations |
Journal | abs/1805.01222 | 0 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andreas Triantafyllopoulos | 1 | 1 | 3.45 |
| Hesam Sagha | 2 | 268 | 15.92 |
| Florian Eyben | 3 | 2854 | 141.87 |
| Björn Schuller | 4 | 6749 | 463.50 |