Emotion Modeling in Speech Signals: Discrete Wavelet Transform and Machine Learning Tools for Emotion Recognition System

Table 1

The average accuracy for each classifier across different emotion categories.

Type	Sadness (%)	Neutral (%)	Happiness (%)	Disgust (%)	Boredom (%)	Anxiety-fear (%)	Anger (%)	Average (%)
SVM	94.20	85.23	88.59	92.89	88.78	88.59	90.46	89.82
KNN	94.76	85.42	87.66	93.64	88.41	89.71	84.67	89.18
Efficient Logistic Regression	88.78	85.23	87.10	91.40	85.60	87.28	86.91	87.47
Naive Bayes	94.01	82.61	84.86	89.90	84.48	84.11	87.28	86.75
Ensemble	94.76	85.04	87.48	92.33	89.71	88.22	89.90	89.63
Neural Network	93.83	82.05	87.66	93.64	90.65	87.10	91.58	89.40

The “Average” column represents the average accuracy for each classifier.