MFCC-based Vocal Emotion Recognition Using ANN

@inproceedings{GilkeMFCCbasedVE,
  title={MFCC-based Vocal Emotion Recognition Using ANN},
  author={Mandar Gilke and Pramod Kachare and Rohit Kothalikar and Varun Pius Rodrigues and Madhavi Pednekar}
}
Emotion recognition and verification is the automated determination of the psychological state of the speaker. This paper discusses the method to extract features from a recorded speech sample, and using those features, to detect the emotion of the subject. Mel-Frequency Cepstrum Coefficient (MFCC) method was used to extract these features. Every emotion comprises different vocal parameters exhibiting diverse characteristics of speech. These features result in different MFCC coefficients that… CONTINUE READING

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