JMS1717/ming-voice
Low-latency local speech-to-speech voice assistant with Ming-3.0-audio-tiny on AMD and Nvidia GPUs. Easy setup on Windows and Linux
Older snapshot: check the original source for current information.
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
A fully local, real-time voice assistant for AMD Radeon GPUs (NVIDIA experimental), on Linux or Windows. Talk to it and it answers out loud, usually starting about a quarter of a second after you stop talking. [](https://github.com/JMS1717/ming-voice/releases) [](LICENSE) [](https://www.paypal.com/paypalme/jasonselsley) Ming Voice turns inclusionAI/Ming-3.0-audio-tiny, a speech-to-speech model, into an assistant you can leave running at home. It hears you, decides when you've finished, thinks, and speaks back, all on your own GPU. It checks the weather, searches the web, sets timers, keeps your shopping list, remembers what you tell it, and controls Home Assistant and Jellyfin. No audio leaves your machine. With tools on, only search terms and place names go out (to DuckDuckGo or Brave Search, and Open-Meteo); turn tools off in Settings to stay fully offline. ▶ Watch the Ming Voice demo Conversation that feels natural Useful out of the box volume, "what's playing?"), thermostat, locks, the car (climate,…
Read the full README ↗ · Preview checked 2026-10-30T22:34:05.525Z
Inside the original README — Document outline
- Ming Voice
- See it in action
- Highlights
- Performance
- Quick start
- Requirements
- Install
- Run
- Using it
- Always on, without a browser
- On your phone
- Tools
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the README
References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.
Documentation belongs to its respective authors. Reported project/model license: MIT. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
Low-latency local speech-to-speech voice assistant with Ming-3.0-audio-tiny on AMD and Nvidia GPUs. Easy setup on Windows and Linux
Repository facts
- Owner
- JMS1717
- Primary language
- Python
- Stars
- 350
- Forks
- 19
- Open issues + pull requests
- 0
- License
- MIT
- Archived
- No
- Default branch
- main
- Created
- 2026-10-21T01:08:35.000Z
- Last push
- 2026-10-26T01:31:27.000Z
Topics and intended use
Owner-supplied topics: amd, local-llm, radeon, realtime, rocm, speech-to-speech, triton, voice-assistant, wsl2
Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.
Evaluate before installing
Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.
Source and freshness
Source: GitHub. Metadata observed 2026-10-28T12:14:58.607Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
Related repositories
EbookFoundation/free-programming-books
donnemartin/system-design-primer