alexkroman/tiny-audio
A speech-to-text system you can train for $25. A frozen speech encoder and a Qwen LLM joined by a small trained projector, with word timestamps, speaker diarization, a batched HTTP server, a live demo
- Stars
- 175
- Forks
- 19
- Open issues
- 0
- Last push
- 3d ago
tiny-audio star history
+2 this week
About tiny-audio
tiny-audio is a free, open-source AI voice and audio tool by alexkroman, written mainly in Python. A speech-to-text system you can train for $25. A frozen speech encoder and a Qwen LLM joined by a small trained projector, with word timestamps, speaker diarization, a batched HTTP server, a live demo. It has 175 GitHub stars and 19 forks, and was last updated 3d ago. It's released under the MIT license, a standard open-source license. According to the project, it runs on a regular CPU without a GPU and works on macOS.
- License
- MIT
- Commercial use
- Commercial OK
- Language
- Python
- Stars
- 175
- Last update
- 3d ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not needed (runs on CPU)
- Paid API key
- Not stated
- Self-hostable
- Yes
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tiny-audio FAQ
Can I use tiny-audio commercially?
Yes. MIT is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is tiny-audio free?
Yes. tiny-audio is open source and free to use. It's released under the MIT license, a standard open-source license.
Does tiny-audio run on a Mac?
Yes. According to the project, tiny-audio works on macOS.
Does tiny-audio need a GPU?
No. According to the project, tiny-audio runs on a regular CPU.
Is tiny-audio still maintained?
Yes. It was last updated 3d ago and has 0 open issues on GitHub.
What are alternatives to tiny-audio?
Similar free, open-source tools include voicebox, VoiceStudio, Speech, Real-Time-Voice-Cloning.
Maintain tiny-audio?
Add this badge to your README to show it's featured on FreeAIRepo.
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