Audio
talk-to-fengge
Clone anyone's voice and personality for real-time conversation.
★ 469 starsApache-2.0
View guide →Local-first AI meeting minutes workbench: FunASR speech-to-text + Ollama LLM.
jkinco-listen-open is an open-source audio project by wenxuanzhang1209-cyber (wenxuanzhang1209-cyber/jkinco-listen-open on GitHub). It has 102 GitHub stars and 0 forks, is released under the MIT license, and was last updated on GitHub on 26 September 2026.
Pull the latest changes to stay current with fixes.
Change the config to match your workflow, then run it daily.
The README documents setup; start with the install section.
Decide what you want jkinco-listen-open to do first — local-first AI meeting minutes workbench: FunASR speech-to-text + Olla.
Working asr support built in.
Working audio processing support built in.
Working chinese support built in.
Ships as a ready container.
Readable code that is easy to modify.
Use it freely, even commercially.
Download the source and move into the project folder.
git clone https://github.com/wenxuanzhang1209-cyber/jkinco-listen-open.git
cd jkinco-listen-openInstall the Python dependencies from the project.
pip install -r requirements.txtLaunch with the project entry point — check the README for the exact command.
python main.py # see README for the exact entry pointYes. It is MIT licensed, so you can use it freely, including commercially, with attribution.
No. It is a self-run project — clone it and run it on your own machine. Some features may optionally call external APIs; check the README.
Yes, that is the point. The code is public, so you can run, modify, and host it yourself.
It is released under MIT. Read the LICENSE file in the repo for the exact terms.
Yes. It is MIT licensed, so you can use it freely, including commercially, with attribution.
Clone anyone's voice and personality for real-time conversation.
Nebulynk — a self-hosted home for your team's conversations, calls, publicly available.
ODS V3 Pre-Release: Public testing and refinement ahead of the official V3 launch. Turn your PC, Mac, or Linux box into a private AI server.
Local-first meeting notes your AI coding agents can query over MCP.
Instant, ultra-realistic text-to-speech from a simple local app.
Private cross-platform speech-to-text with LLM cleanup built in.
The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if jkinco-listen-open is not the right fit.
利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
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
Port of OpenAI's Whisper model in C/C++
Free and open — grab the source, star the repo, and start creating.