Emotion Recognition in Speech

Emotion Recognition in Speech involves analyzing spoken words to identify the speaker's feelings, such as happiness, sadness, anger, or fear. This process examines various aspects of speech—like tone, pitch, pitch variation, volume, and pace—to interpret emotional states. By using advanced algorithms and machine learning, systems can accurately detect emotions, helping applications like customer service, mental health monitoring, and virtual assistants respond more empathetically and effectively. Essentially, it gives machines a way to understand human emotions through how things are said, not just what is said.