MFCC features with an LSTM classifier reach 99% accuracy on emotion recognition from the TESS speech dataset, marginally above an SVM baseline.
Speech emotion recognition with deep learning
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Speech Emotion Recognition Using MFCC Features and LSTM-Based Deep Learning Model
MFCC features with an LSTM classifier reach 99% accuracy on emotion recognition from the TESS speech dataset, marginally above an SVM baseline.