Speech Emotion Recognition

Speech Emotion Recognition (SER) is the technology that analyzes spoken words to identify a person's emotional state, such as happiness, anger, sadness, or excitement. It works by examining elements like tone, pitch, rhythm, and loudness in speech. By processing these features, SER systems can determine how someone is feeling based on their voice, which can be useful in customer service, mental health support, and human-computer interactions. Essentially, it helps machines understand not just what is being said, but also how it is being said emotionally.