nerd-dictation VS kaldi-active-grammar

nerd-dictation

There's no built-in way of doing this in GNOME, but you might already get a bit further with tools like https://github.com/ideasman42/nerd-dictation

I'm not familiar with Talon so I don't know if this is a suitable suggestion but nerd-dictation seemed to have been well received here when it was last promoted and it looks like it's still in active development.

TBF Microsoft dropped IE, windows phone... that is not uncommon. But the OP is right, maybe not much for voice control but for dictation certainly. The FLOSS community is always far behind and thus always struggle with new technologies. We should be prepared. Since you've mentioned small open source project here's a demo of NerdDitaction. FYI Linux do have mobile devices developing.

Yeah you get me. I did have RSI which was amplified by my other issue, but it was that issue that progressed and why can't type now, not RSI. I'd be interested in hearing about using numen in combination with typing, but it's likely not ideal yet. Maybe just using speech to text for some things could help? It's not my project but there's: https://github.com/ideasman42/nerd-dictation that uses the same speech recognition as numen.

https://github.com/dictation-toolbox/dragonfly

https://github.com/daanzu/kaldi-active-grammar

With an open system/engine, you can train your own personal speech model. For kaldi-active-grammar (https://github.com/daanzu/kaldi-active-grammar), you can do so without all that much difficulty, although the process/documentation could certainly use improvement.

I bootstrapped my personal speech model by retaining the commands from me using WSR. My voice is quite abnormal, and it took only 10 hours of speech data to train a model orders of magnitude more accurate than any generic model I've ever used. And of course, I retain much of my usage now with Kaldi, so my model improves more and more over time. A virtuous flywheel!

I have been coding entirely by voice for approximately 10 years now (by hand long before that). Most of that time I have been using the Dragonfly (https://github.com/dictation-toolbox/dragonfly) library to construct my own customized voice coding system. The library is highly flexible and open source, allowing you to easily customize everything to suit what you need to be productive. It is perhaps the power user analogue to Dragon Naturally Speaking. With it, you can certainly be highly productive coding by voice. In fact, I develop kaldi-active-grammar (https://github.com/daanzu/kaldi-active-grammar), a free and open source speech recognition backend usable by Dragonfly, itself entirely by voice. There's also a community of voice coders using Dragonfly and other tools that build on top of it, such as Caster (https://github.com/dictation-toolbox/Caster).

- Demo: https://www.youtube.com/watch?v=Qk1mGbIJx3s / Software: https://github.com/daanzu/kaldi-active-grammar

Far field audio is usually harder for any speech system to get correct, so having a good quality mic and using it nearby will _usually_ help with the transcription quality. As a long time Linux user, I would love to see it get some more powerful voice tools - really hope that this opens up over the next few years. Feel free to drop me an email (on my profile) happy to help with setup on any of the above.

kaldi repo: https://github.com/daanzu/kaldi-active-grammar