Analysis of deep learning-based decision-making in an emotional spontaneous speech task

HIGHLIGHTS

• who: Mikel de Velasco and collaborators from the Department of Electricity and Electronics, Faculty of Science and Technology, University of the Basque Country have published the article: Analysis of Deep Learning-Based Decision-Making in an Emotional Spontaneous Speech Task, in the Journal: (JOURNAL)
• what: The aim of the work is to contribute to the understanding of computational methods and decision-making involved in the identification of emotions in spontaneous speech. The authors propose a CNN-based deep architecture capable of providing good results but simple enough to be able to follow and interpret the . . .
  

   

  

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