Hume AI - The Empathic AI Research Lab | Hume AI

Hume AI positions itself as an emotional intelligence lab for voice AI, offering open source models, datasets, and evaluation APIs.
Its research spans more than 50 languages, 48 emotions, and 600+ voice descriptors.
The Human Feedback API provides science-backed survey templates for collecting preference feedback on voice models.
The platform supports multiple evaluation dimensions, including listenability, audio quality, and smoothness.
Human studies can be run through simple RESTful APIs and use vetted participants from a worldwide pool.
Hume claims human preference data can be delivered in hours rather than weeks.
The Data offering includes curated speech datasets for tasks such as conversational audio, emotional reproduction, multilingual audio, and voice realism.
Datasets also cover domain-specific and task-specific use cases like healthcare, finance, scheduling, support, and onboarding.
The models lineup includes TTADA, an open-source LLM TTS system that streams text and audio together to reduce hallucinations and latency.
Other models include Octave and EEVI, both closed-source systems with capabilities such as voice design, voice cloning, interruptibility, and expressive instruction following.

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