emotion recognition; learning (artificial intelligence); pattern classification; support vector machines; EmoMeter; Gaussian mixture model; affective computing; classifier models; emotion measurement; emotion recognition; k-nearest neighbors model; naive Bayesian classifier; neural network; support vector machines; weighted combinational model; Computational modeling; Emotion recognition; Feature extraction; Neural networks; Speech; Support vector machines; Testing; Combinational Model; EmoMeter; Emotion Percentage; Emotion Recognition; Gaussian Mixture Model; Naïve Bayes Classifier; Neural Network; Support Vector Machine; Weighted Combination; k-Nearest Neighbor;
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