24 professional actors (12 female, 12 male) across 8 emotional categories provide vocalizations of two lexically-matched statements in neutral North American accents. Recorded expressions include calm, happy, sad, angry, fearful, surprise, disgust, and neutral, with non-neutral emotions featuring both normal and strong intensity levels.
Use Cases
- Train speech emotion recognition models using the emotion and intensity labels
- Analyze acoustic feature variance across the 24 professional actors to study individual differences in emotional expression
- Evaluate gender-based differences in emotional prosody using the 12 male and 12 female actor metadata
Strengths
- Includes 24 professional actors with a balanced 12:12 male-to-female ratio
- Features 8 emotional categories: calm, happy, sad, angry, fearful, surprise, disgust, and neutral
- Captures two levels of emotional intensity (normal and strong) for each non-neutral expression