Voice emotion recognition
Inferring emotion from how something was said, using the audio rather than the text.
Voice emotion recognition infers emotional state from the acoustic properties of speech, how something was said, rather than from the words alone. It captures cues like tension, frustration, or calm that text-based sentiment analysis cannot, because those cues live in tone and delivery.
Applied per dialogue segment, emotion recognition shows where a conversation shifted, which is more useful than a single score for an entire call. The signal helps spot churn risk and escalation early and gives coaches a precise moment to point to.
