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Emotion Recognition Model (CREMA-D)

  • Architecture : CNN + BiLSTM + Temporal Attention
  • Dataset : CREMA-D (6 émotions)
  • Meilleure Val Accuracy : 62.59%
  • Framework : PyTorch
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