
Hume AI
Open-source models, datasets, and evaluation APIs to embed emotional intelligence in voice AI.

About Hume AI
Hume AI is the Emotional Intelligence Lab for Voice AI, providing open-source models, datasets, and evaluation APIs to embed emotional intelligence into voice models. Our research spans 50+ languages, 48+ emotions, and 600+ voice descriptors, and we offer human-feedback tooling for evaluating and improving models.
Features
- Open-source LLM TTS system TADA that streams text and audio, reducing hallucinations and latency.
- Closed-source LLM TTS system Octave with voice design, modulation, voice cloning, and voice conversion.
- Closed-source LLM Speech-to-Speech system EVI with interruptibility, back channeling, expressive instruction following, and external LLM compatibility.
- Human Feedback API and Study Runner to run scientifically grounded preference evaluations; RESTful API to create and manage evaluation studies.
- Data Library with curated speech datasets spanning 50+ languages and diverse domains, including conversational audio and domain-specific data.
- 48 core emotions and 600+ voice descriptors across multilingual data.
Who Is It For?
- Researchers and developers building empathic voice AI.
- ML engineers and data scientists evaluating and improving voice models with human-in-the-loop feedback.
- Organizations needing multilingual data and evaluation tooling for product and research teams.
Use Cases
- Build and deploy empathic voice agents with validated emotional intelligence.
- Train on curated multilingual datasets across healthcare, finance, and more domains.
- Run rapid human evaluations via the Human Feedback API and Study Runner.
- Benchmark models using evaluation APIs and RESTful evaluation tooling.
- Fine-tune or contrast performance with domain-specific datasets.
Get started with empathic voice AI today.