Hume Launches Audio Decision Model API for Voice AI

Hume has introduced its Audio Decision Model API—an audio-native model tailored for voice AI that allows developers to submit audio, questions, and multiple-choice options to retrieve probability distributions for each answer. It can evaluate voice naturalness, clarity, and empathy. The model achieves an average score of 0.82 across 10 benchmarks, a median latency of 0.23 seconds, and a 70.7% alignment with human consensus. The API can be integrated into voice agent architectures as a decision-making layer, assisting in training data curation and edge-case escalation.