ABSTRACT
Dive into the fascinating world of emotion analysis with our Speech Emotion Detection System using Python. Tailored for students intrigued by the intersection of programming and psychology, this project introduces an innovative approach to understanding emotions conveyed through speech. Harnessing the versatility of Python, our system employs advanced signal processing and machine learning techniques to discern and categorize emotions accurately.
The Speech Emotion Detection System decodes emotional cues embedded in spoken words, categorizing them into various states such as happiness, sadness, anger, and more. Students are invited to explore the intricate process of feature extraction, model training, and real-time emotion classification, gaining valuable insights into the realm of affective computing.
Designed with user-friendliness in mind, this project encourages students to delve into the world of Python programming while simultaneously unlocking the secrets of human emotion. Aspiring coders and psychology enthusiasts alike can benefit from this project’s accessible interface, allowing for hands-on exploration and experimentation.
