Emotion Recognition from Speech Using Python and Librosa

Author Name : Dheeraj P Girish, Raghavendra R

ABSTRACT

The purpose of Speech emotion Recognition is to detect different emotions based upon different speech to extract the speaker's emotional condition from users’ speech signal and to classify the emotions from the given speech. Emotion recognition aids in the monitoring and comprehension of human emotional states, which is important in todays and future computing technologies. The ability to detect human feelings and emotional states from speech is known as speech emotion detection. The trials took into account emotions such as neutral, pleasure, and melancholy. Muscle tension, skin elasticity, blood pressure, heart rate, breathing, and speech are all physical factors that impact an individual's emotions. Despite the fact that each person's feelings are unique, their interpretations, interpretations, and viewpoints might differ. This research makes use of Python libraries.

Keywords— Python, Emotions, Mfcc, Chroma, mel, Librosa, sklearn