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22/100

Anam benchmarks avatar providers on a LiveKit voice pipeline

AIAnam ran a blind benchmark on a LiveKit pipeline where speech recognition, LLM, and voice stayed identical across providers, so only the avatar changed. The post invites developers to add an avatar to a LiveKit Agents voice agent in a few lines of code.
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@Anam_AI ran its new blind benchmark on a LiveKit pipeline, with the same speech recognition, LLM and voice for every provider, so the only thing that changed was the avatar.

If you're building a voice agent with LiveKit Agents, you can give it a face in a few lines of code.

Try it now: http://go.anam.ai/c41/partner-livekit-integration

Ben Carr@benatanam
Cara-4.1 Express is now live at @Anam__AI Faster and more expressive than cara-4 with better lip sync and stronger prompt adherence. It also handles much wider framings for custom avatars. We ran blind human evals: 85% of raters scored Anam higher than HeyGen, 88% higher than Tavus and 92% higher than LemonSlice. The eval code is public and reproducible. Try it in the Anam Lab: http://go.anam.ai/dXLpQWy
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Original title: @Anam_AI ran its new blind benchmark on a LiveKit pipeline, with the same speech recognition, LLM and voice for every provider, so the on...