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Speech Emotion Recognition Using MFCC and SVM in MATLAB

P06
Machine LearningNatural Language ProcessingSpeech Recognition

Abstract

Speech emotion recognition helps in various human-computer interaction applications. This project extracts Mel-Frequency Cepstral Coefficients (MFCC) features from speech signals and classifies emotions using a Support Vector Machine (SVM) in MATLAB.

Key Words

  • Speech Emotion Recognition
  • MFCC
  • SVM
  • MATLAB
  • Human-Computer Interaction

Delivery Time

Delivery within: 7 days

5899