Introducing Expression APIs: Give your AI more of what people mean

Hume AI has introduced Expression APIs that convert vocal and facial cues into structured measurements intended to help developers and researchers capture context beyond spoken words. The Audio Expression API assesses 414 expression tags across 23 emotion categories and 391 detailed descriptions, plus 190 voice characteristics such as breathiness, speed, monotony, and raspiness, and supports more than 50 languages. The Video Expression API measures 48 emotional-expression categories and 27 visible facial features, drawing on human-rated data from participants across several countries. Designed for both real-time use and analysis of recorded material, the APIs provide timestamped scores that can support customer-service agents, market research, robots, data retrieval, evaluation, and model training. Hume states that its models were trained on more than 260,000 speech recordings and 370,000 human-rated facial-expression images and match or exceed other tested systems against human judgments.

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