MFCC-based Vocal Emotion Recognition Using ANN

  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


Publications referenced by this paper.
Showing 1-8 of 8 references

Principles of Soft Computing

  • S. N. Sivanandam, S. N. Deepa
  • WILEY India
  • 2009
Highly Influential
8 Excerpts

Continuous Speech Recognition for Marathi Language Using Statistical Method

  • Madhavi S. Pednekar, Kavita Tiware, Sachin Bhagwat
  • IEEE International Conference on „Computer Vision…
  • 2009
1 Excerpt

Dhore, “Speech Emotion Recognition using SVM

  • M. L. Yashpalsing D. Chavhan
  • IEEE International Conference on „Computer Vision…
  • 2009
1 Excerpt

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