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Models/emoDARTS

emoDARTS

Reported on 6 benchmarks across 2 tasks · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Audio3 results

Emotion RecognitiononIEMOCAP
UA CV· 2024-03-21
0.7655
best: 0.7815 (SER with MTL)
SOTA
emoDARTS: Joint Optimisation of CNN & Sequential Neural Network Architectures for Superior Speech Emotion Recognition arXiv:2403.14083
Emotion RecognitiononIEMOCAP
WA CV· 2024-03-21
0.7803
SOTA
emoDARTS: Joint Optimisation of CNN & Sequential Neural Network Architectures for Superior Speech Emotion Recognition arXiv:2403.14083
Emotion RecognitiononMSP-IMPROV
UA· 2024-03-21
0.6563
SOTA
emoDARTS: Joint Optimisation of CNN & Sequential Neural Network Architectures for Superior Speech Emotion Recognition arXiv:2403.14083

Speech3 results

Speech Emotion RecognitiononIEMOCAP
UA CV· 2024-03-21
0.7655
best: 0.7815 (SER with MTL)
SOTA
emoDARTS: Joint Optimisation of CNN & Sequential Neural Network Architectures for Superior Speech Emotion Recognition arXiv:2403.14083
Speech Emotion RecognitiononIEMOCAP
WA CV· 2024-03-21
0.7803
SOTA
emoDARTS: Joint Optimisation of CNN & Sequential Neural Network Architectures for Superior Speech Emotion Recognition arXiv:2403.14083
Speech Emotion RecognitiononMSP-IMPROV
UA· 2024-03-21
0.6563
SOTA
emoDARTS: Joint Optimisation of CNN & Sequential Neural Network Architectures for Superior Speech Emotion Recognition arXiv:2403.14083