Mini toolsDefinition
Technology that identifies human emotions from speech patterns and vocal characteristics.
Detailed Explanation
Analyzes acoustic features like pitch, energy, tempo, and spectral properties to classify emotional states. Uses machine learning models trained on labeled emotional speech data to detect patterns associated with different emotions.
Use Cases
Customer service analytics, mental health monitoring, market research, interactive entertainment, educational technology
