montenegrohugo
Joined 8 years ago
Joined 8 years ago
there's a few
How finetuning works:
1. mp3 recordings of your voice are stored on your disk (if you choose so).
2. A big Model (Whisper large-v3-turbo by default, configurable) re-transcribes them when when your PC is idle overnight.
3. A LoRA fine-tunes your base model.
`voiceio learn schedule on` runs all of this automatically. For repeated mistakes there's also an instant fix: `voiceio vocab add <word>` steers the decoder right away, and `voiceio corrections add wrong right` handles anything left.
Beyond Whisper you can run Parakeet or a whisper.cpp server (both experimental). Feedback appreciated, have tested this with a small set of people so far.
It gets better as you use it, finetuning on your recordings overnight. Fully local, no data leaves your PC, source available, free.
I believe the future of software is software you actually own and that adapts to your personal needs.
github: https://github.com/Hugo0/voiceio
Explicitly postting via GET feels a bit sacrilegious, but it's 2026 I guess
Happy to discuss the moral implications on this as well. For the record, i'm p(doom) 20% ish.
Spam and resource allocation remains a challenge but i have a pretty good idea about how I want to solve that, if it ever gets to that point
The whole point of intelligence is that it's generalizable. If you constrain it to some controlled things, then it ceases to be useful. its incompatible. the whole incentive with ai is to let it do whtv it wants.
hate apps, hate accounts, hate friction
Such a cool primitive!
Email: [email protected] Twitter: @uwwgo - (I'm active here)