Feature extraction in emotion recognition: An analysis of emotion using Praat

摘要

Machine learning is being used to help robots to detect human emotions. Speech is an important tool to recognize emotion. It has been observed after reading different research papers from different researchers that pitch and intensity are major features to detect the emotion of sound. Consequently, the present research study is oriented towards discussing aspects pertaining to emotion recognition using speech. This paper presents the illustration of emotions that can be recognized by the speech of a person. Future research will be focused on enhancing features like energy, frequency, and amplitude of a speech.