Name
Abstract | ||
|---|---|---|
This paper introduces a novel framework for combining the strengths of machine-based and human-based emotion classification. Peoples' ability to tell similar emotions apart is known as emotional granularity, which can be high or low, and is measurable. This paper proposes granularity-adapted classification that can be used as a front-end to drive a recommender, based on emotions from speech. In th... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TAFFC.2016.2598741 | IEEE Transactions on Affective Computing |
Keywords | Field | DocType |
Speech,Motion pictures,Context,Support vector machines,Facsimile,Visualization,Emotion recognition | Pairwise comparison,Multidimensional scaling,Measure (mathematics),Visualization,Support vector machine,Emotion classification,Psychology,Artificial intelligence,Granularity,Machine learning,Facsimile | Journal |
Volume | Issue | ISSN |
9 | 2 | 1949-3045 |
Citations | PageRank | References |
0 | 0.34 | 20 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sven Ewan Shepstone | 1 | 18 | 3.69 |
| Zheng-Hua Tan | 2 | 457 | 60.32 |
| Søren Holdt Jensen | 3 | 1362 | 111.79 |