Emotion recognition in speech using MFCC with SVM, DSVM and auto-encoder

@article{Aouani2018EmotionRI,
  title={Emotion recognition in speech using MFCC with SVM, DSVM and auto-encoder},
  author={Hadhami Aouani and Yassine Ben Ayed},
  journal={2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)},
  year={2018},
  pages={1-5}
}
Emotions recognition from speech is one of the most important sub domains in the field of signal processing. In this work, our system is a two-stage approach, namely feature extraction and classification engine. Firstly, two sets of feature are investigated which are: 39 Mel-frequency Cepstral Coefficient (MFCC) coefficients and 65 MFCC features extracted… CONTINUE READING