Speech Emotion Recognition

Emotion recognition in speech is a task in speech processing and computational paralinguistics that aims to identify and classify the emotional states expressed by speakers through the analysis of speech patterns such as prosody, pitch, and rhythm, including happiness, anger, sadness, or frustration. This technology has significant application value in areas like human-computer interaction, mental health assessment, and customer service. For multimodal emotion recognition, please upload the results to the designated page.