Speech Emotion Recognition

Speech Emotion Recognition (SER) is a field of study in artificial intelligence and natural language processing that focuses on identifying and classifying human emotions through speech. By analyzing audio features such as pitch, intensity, speech rate, and spectral characteristics, SER systems can recognize emotional states like happiness, sadness, anger, surprise, fear, and more.