Speech Emotion Recognition Using Clustering Based GA-Optimized Feature Set
Speech Emotion Recognition (SER) is a hot topic in academia and industry.Feature engineering plays a pivotal role in building an efficient SER.Although researchers have done a tremendous amount of work in this field, there are still the issues of speech feature choice and the correct application of feature engineering that remains to be solved in t