Your voice reveals more than just your words—it carries pitch, pace, volume, and inflection. Voice emotion recognition tools analyze these auditory cues to infer the speaker’s mood. Call centers use this to detect if a customer is angry or anxious. Smart assistants like Alexa and Google Assistant are developing similar capabilities.
Startups like Beyond Verbal and Affectiva have developed software that analyzes voice in real-time to determine emotional state—happy, bored, sad, excited. This data can then personalize responses, escalate customer support, or target emotional states with tailored offers.
c. Facial Recognition and Micro-Expressions
Facial recognition technology, paired with emotion AI, is capable vietnam phone number list of detecting micro-expressions—fleeting facial movements that reveal hidden emotions. Cameras embedded in smartphones, kiosks, or digital signage can scan faces to assess engagement, interest, or disapproval.
Retailers like Walgreens and Walmart have tested smart shelves with cameras that detect shoppers’ emotions and adjust ad displays accordingly. If someone appears bored or disinterested, the display may switch to a more engaging, upbeat ad.
Voice-Based Emotion Detection
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