Speech emotion recognition based on parallel cnn-attention networks with multi-fold data augmentation

HIGHLIGHTS

• who: John Lorenzo Bautista and colleagues from the Artificial Intelligence Department, University of Science and Technology Korea, Daejeon, Republic of Korea have published the paper: Speech Emotion Recognition Based on Parallel CNN-Attention Networks with Multi-Fold Data Augmentation, in the Journal: Electronics 2022, 11, 3935. of 20/Oct/2022
• what: In this study, the goal is to identify underlying emotions in speech using voice-based feature extraction methods, by utilizing the power of CNNs while addressing the issue of the small number of available training data using different data augmentation techniques. The training of . . .
  

   

  

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