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NVIDIA/personaplex

PersonaPlex is a real-time, full-duplex speech-to-speech model enabling persona control through text prompts and audio conditioning. Built on the Moshi architecture and trained on synthetic plus real conversations, it delivers natural, low-latency interactions with a consistent persona and supports offline evaluation and CPU offload. The repo provides installation steps, licensing, voices, prompting templates, and a WebUI demo.

published APR 29, 2026★★★★
Read the sourcegithub.com/NVIDIA/personaplex
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GitHub Trending — Python
Ingested
APR 29, 2026 · 06:17
Editorial score
4.0 / 5