Name
Abstract | ||
|---|---|---|
Automatic emotion recognition in realistic domains is a challenging task given the subtle expressive behaviors that occur during human interactions. The challenges start with noisy emotional descriptors provided by multiple evaluators, which are characterized by low interevaluator agreement. Studies have suggested that evaluators are more consistent in detecting qualitative relations between episo... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TASLP.2016.2593944 | IEEE/ACM Transactions on Audio, Speech, and Language Processing |
Keywords | Field | DocType |
Emotion recognition,Reliability,Databases,Psychology,Speech,Context,IEEE transactions | Ranking,Computer science,Emotion recognition,Contrast (statistics),Artificial intelligence,Preference learning,Machine learning | Journal |
Volume | Issue | ISSN |
24 | 11 | 2329-9290 |
Citations | PageRank | References |
1 | 0.35 | 31 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Parthasarthy | 1 | 60 | 5.25 |
| Roddy Cowie | 2 | 2595 | 207.25 |
| Carlos Busso | 3 | 1616 | 93.04 |