Name
Title | ||
|---|---|---|
Predicting Emotionally Salient Regions Using Qualitative Agreement of Deep Neural Network Regressors |
Abstract | ||
|---|---|---|
Automatic emotion recognition plays a crucial role in various fields such as healthcare, human-computer interaction (HCI) and security and defense. While most of previous studies have focused on the recognition of emotion in isolated utterances, a more natural approach is to continuously track emotions during human interaction, identifying regions that are highly emotional. This study proposes a f... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TAFFC.2018.2878715 | IEEE Transactions on Affective Computing |
Keywords | DocType | Volume |
Emotion recognition,Market research,Databases,Affective computing,Speech recognition,Task analysis | Journal | 12 |
Issue | ISSN | Citations |
2 | 1949-3045 | 0 |
PageRank | References | Authors |
0.34 | 20 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Parthasarthy | 1 | 60 | 5.25 |
| Carlos Busso | 2 | 11 | 1.96 |