Speech Emotion Recognition
Speech Emotion Recognition (SER) is a technology that uses AI to analyze and categorize human emotions from speech. It involves processing and interpreting the acoustic features of speech such as tone, pitch, and rate to identify emotions like happiness, sadness, anger, and fear. SER systems are used in various applications including call centers, virtual assistants, and mental health assessment.
Areas of application
- Call Centers
- Virtual Assistants
- Mental Health Assessment
- Customer Relationship Management (CRM)
- Healthcare
- Speech Therapy
- Human-Computer Interaction
- Automotive industry
Example
A company uses SER to analyze customer calls and detect the emotional state of customers, allowing them to provide more personalized support and improve customer satisfaction.