Emotion Detection | Smallest AI Docs

Pulse 2.0 adds per-utterance emotion detection, on by default via emotion_detection. Evaluated on two corpora held out from training:

Test set	n	UA	WA	F1
ESD	14,000	72.46	72.46	73.98
TESS	2,400	73.42	73.42	72.31
Mean (2 held-out sets)	—	72.94	72.94	73.14

UA = unweighted accuracy, WA = weighted accuracy. Evaluated across nine emotion classes (anger, happiness, sadness, neutral, excitement, frustration, fear, surprise, disgust); the streaming API surfaces six classes per final - see the Pulse 2.0 model card for the response shape.

Streaming introduces essentially no accuracy cost versus the direct (offline) model - per-corpus deltas average within about ±0.3 points, consistent with run-to-run noise rather than degradation.