Discover over 25 patterns of tune, rhythm, and timbre that imbue everyday speech with complex, blended meanings

Explore vocal utterances by inferring probabilities of 67 descriptors, like 'laugh', 'sigh', 'shriek', 'oh', 'ahh', 'mhm', and more

Measure 53 emotions reliably expressed by the subtleties of language

Differentiate 37 kinds of facial movement that are recognized as conveying distinct meanings, and the many ways they are blended together

Differentiate 28 kinds of vocal expression recognized as conveying distinct meanings, and the many ways they are blended together

Measure dynamic patterns in facial expression over time that are correlated with over 20 distinct reported emotions

An improved, automated facial action coding system (FACS): measure 26 facial action units (AUs) and 29 other features with even less bias than traditional FACS

Measure the distribution of possible sentiments expressed in a sentence, negative to positive, neutral or ambiguous

Recordings of sentences being spoken in dozens of emotional intonations around the world, with self-report and demographics

Diverse vocal expressions (e.g., laughs, sighs, screams) worldwide, including 28+ call types with distinct self-reported meanings

Hundreds of thousands of diverse facial expressions worldwide, capturing 37+ expressions with distinct self-reported meanings

Reactions to thousands of evocative experiences across 4 continents, capturing 27+ distinct patterns of emotional response

Hundreds of thousands of short emotional conversations between friends or strangers, with detailed self-report ratings of expression