Robust Emotion Recognition
Robust Emotion Recognition is an emotion recognition framework that maintains high accuracy and reliability across diverse, noisy, and variable real-world conditions, such as differing modalities, cultural contexts, individual differences, and environmental disturbances, thereby distinguishing itself from conventional emotion recognition systems through its resilience to perturbations and generalizability beyond controlled settings.
149
Publications
8.5K
Citations
486
Authors
215
Institutions
Publications per year
2017–2026
94
Parents
149
Speech Emotion Recognition Using CNN
Zheng-Wei Huang, Ming Dong, Qirong Mao et al. · 2014 · 396 citations
1–5 of 149
486
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215
Technical University of Munich
Munich, Germany
5 h-index
13 publications
1.8K citations
The University of Texas at Dallas
Richardson, United States
4 h-index
8 publications
394 citations

Imperial College London
London, United Kingdom
4 h-index
4 publications
202 citations
National Tsing Hua University
Hsinchu, Taiwan
4 h-index
13 publications
363 citations

Southeast University
Nanjing, China
4 h-index
12 publications
250 citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
3 h-index
8 publications
151 citations
Beijing Satellite Navigation Center
Beijing, China
3 h-index
3 publications
110 citations
University of the West of Scotland
Paisley, United Kingdom
3 h-index
7 publications
124 citations
1–8 of 215
TAC · 9 publications · 665 citations
9
h-index
8 publications · 633 citations
8
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5 publications · 223 citations
5
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Repository · 5 publications · 133 citations
5
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3 publications · 74 citations
3
h-index
1–5