Hume AI Introduction

Hume AI's technology is built on over 10 years of research in computational emotion science. Their models are trained on millions of human interactions to detect nuanced emotional expressions in voice, face, and language. The Empathic Voice Interface uses an empathic large language model (eLLM) that can understand vocal modulations and emotional cues, enabling more natural conversations. Their Expression Measurement API can analyze audio, video, and images to capture subtle emotional expressions. Hume AI also offers a Custom Model API that uses transfer learning to build predictive models for specific use cases. All of these capabilities come together to enable AI systems that can interpret and respond to human emotions in more sophisticated ways.