Stressed Speech Emotion Recognition Using Teager Energy and Spectral Feature Fusion with Feature Optimization

<div>Comparison of the classification accuracies of the SSER system using the individual spectral feature and proposed feature extraction techniques of EMO-DB, EMOVO, IITKGP, and EMA database for (a) GD-male, (b) GD-female, and (c) SI case.</div>

Computational Intelligence and Neuroscience

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Figure 10

Figure 10: Stressed Speech Emotion Recognition Using Teager Energy and Spectral Feature Fusion with Feature Optimization 