Speech emotion recognition through hybrid features and convolutional neural network

HIGHLIGHTS

• who: Ala Saleh Alluhaidan and colleagues from the Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, POBox, Riyadh, Saudi Arabia have published the research: Speech Emotion Recognition through Hybrid Features and Convolutional Neural Network, in the Journal: (JOURNAL)
• what: In this study, a novel approach for SER is proposed, which combines the MFCCs and time-domain features derived from each audio signal in dataset. In this paper, a new feature extraction technique was implemented to derive effective and suitable features, called MFCCT features, from audio files for constructing . . .
  

   

  

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