EVALUATION OF THE EFFECTIVENESS OF THE DEVELOPED METHOD FOR CLASSIFYING EMOTIONAL STATES THROUGH SPEECH SIGNALS
Abstract. This study presents an innovative method for classifying emotional states through speech signals, leveraging advanced signal processing and machine learning techniques. The proposed method incorporates a multi-step approach, including feature extraction, selection, and classification. Initially, key acoustic features such as pitch, intensity, formants, and Mel-frequency cepstral coefficients (MFCCs) are extracted from the speech signals. […]
