Access EVI 3 Preview in the Hume iOS App
EVI 3, currently in preview, is available to chat with in our iOS app. Speak with any voice and personality you create with a prompt. Create your own empathic AI.
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EVI 3 API coming soon
EVI 3 is a speech-language model that streams in user speech and forms natural, expressive speech and language responses. With deep speech and language understanding, EVI 3 brings more expressiveness, realism, and emotional understanding to voice AI. And instead of being limited to a handful of speakers, EVI 3 can speak with any voice and personality you create with a prompt.
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Our model capabilities
Emotional Intelligence
Context Injection
Custom Voices
From cutting edge research to proven applications
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Frequently asked questions
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Resources
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What is emotion science?
How can artificial intelligence achieve the level of emotional intelligence required to understand what makes us happy? As AI becomes increasingly integrated into our daily lives, the need for AI to understand emotional behaviors and what they signal about our intentions and preferences has never been more critical.

Are emotional expressions universal?
Do people around the world express themselves in the same way? Does a smile mean the same thing worldwide? And how about a chuckle, a sigh, or a grimace? These questions about the cross-cultural universality of expressions are among the more important and long-standing in behavioral sciences like psychology and anthropology—and central to the study of emotion.

Introducing Voice Control
We’re introducing Voice Control, a novel interpretability-based method that brings precise control to AI voice customization without the risks of voice cloning. Our tool gives developers control over 10 voice dimensions, labeled “masculine/feminine,” “assertiveness,” “buoyancy,” “confidence,” “enthusiasm,” “nasality,” “relaxedness,” “smoothness,” “tepidity,” and “tightness.” Unlike prompt-based approaches, Voice Control enables continuous adjustments along these dimensions, allowing for precise control and making voice modifications reproducible across sessions.
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