Emotion Recognition From Speech

Emotion Recognition from Speech is an intelligent application that uses deep learning techniques to analyze vocal patterns and detect human emotions such as happiness, sadness, anger, and more. By processing audio input and extracting key speech features, the system can accurately classify the emotional state of a speaker. This project combines machine learning, signal processing, and real-world problem-solving to demonstrate the potential of AI in understanding human emotions through voice.