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A TTS model capable of generating ultra-realistic dialogue in one pass.
★ 19,4 mil estrelasApache-2.0
Ver o guia →talk-to-fengge é um projeto de áudio de código aberto de YeJe-cpu (YeJe-cpu/talk-to-fengge no GitHub). Tem 469 estrelas no GitHub e 95 forks, é publicado sob a licença Apache-2.0 e foi atualizado pela última vez no GitHub em 11 de julho de 2026.
Clone anyone's voice and personality for real-time conversation.
Install the Python components and LiveKit pieces.
Clone the voice you want the persona to use.
Shape how the persona talks and responds.
Hold a real-time voice conversation under a second of latency.
Clones a person's voice for conversation.
Captures personality, not just the voice.
Under one second of engineering latency.
Built on LiveKit for live audio transport.
Full speech pipeline inside the conversation loop.
Commercial-friendly open-source terms.
Download the source and move into the project folder.
git clone https://github.com/YeJe-cpu/talk-to-fengge.git
cd talk-to-fenggeEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at YeJe-cpu/talk-to-fengge with 95 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
It targets under one second of engineering latency for real-time feel.
The cloned voice plus a modeled personality for how it speaks.
Only with their clear consent — voice cloning has real ethical and legal stakes.
A TTS model capable of generating ultra-realistic dialogue in one pass.
🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time
リアルタイムボイスチェンジャー Realtime Voice Changer
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
Open-source real-time spoken dialogue with personalized voice cloning.
Vietnamese TTS with instant voice cloning — on-device, real-time CPU inference, 48 kHz audio
Os outros projetos de Áudio com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se talk-to-fengge não for o ideal para você.
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Robust Speech Recognition via Large-Scale Weak Supervision
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
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Projetos de Áudio próximos no catálogo, os mais próximos em estrelas de talk-to-fengge: continue explorando dos dois lados dele.
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.