Overview

Hume AI is an emotional intelligence research lab and platform dedicated to building voice AI systems that truly understand human emotions. With decades of research in multimodal emotional intelligence, Hume provides the open-source models, datasets, and evaluation APIs necessary to embed emotional intelligence into voice AI applications across 50+ languages, 48+ emotions, and 600+ voice descriptors.

Key Features & Capabilities

• Human Feedback API (Study Runner): Run human evaluation studies with science-backed survey templates designed to capture scientifically grounded preference feedback. Features RESTful API endpoints, high-quality ratings from vetted worldwide participants, and fast turnaround times (hours instead of weeks).

• Curated Voice AI Datasets: Access a comprehensive library of annotated speech datasets covering conversational audio (turn-taking, interruptions, multi-speaker dynamics), emotional reproduction with fine-grained annotations across 48 core emotions, multilingual audio from native speakers across 50+ languages, voice realism metrics (prosody, intonation, pacing), and both domain-specific (healthcare, finance) and task-specific (scheduling, support, onboarding) data.

• State-of-the-Art Models: Includes TADA (open-source LLM TTS system streaming text and audio together to reduce hallucinations and latency), Octave (closed-source LLM TTS with voice design, modulation, cloning, and conversion), and EVI (closed-source LLM Speech-to-Speech system with interruptibility, back channeling, and expressive instruction following).

Who It's For

Hume AI serves developers, researchers, and organizations building next-generation voice AI applications that require genuine emotional understanding. The platform is particularly valuable for teams working on conversational AI, voice assistants, customer service bots, and any application where emotional intelligence and human-like interaction are critical.

What Sets It Apart

Unlike traditional voice AI platforms, Hume AI grounds its technology in rigorous scientific research on human emotion and expression. The platform emphasizes the importance of human evaluation alongside automated metrics, providing tools to measure not just technical performance but genuine listenability, audio quality, and emotional authenticity. By open-sourcing key models and providing comprehensive datasets with scientifically validated emotional annotations, Hume enables the broader AI community to build voice systems that create technology truly understanding humanity.