kaldi-active-grammar VS Joplin

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

I've had great success with using Joplin for this, with Syncthing as a sync backend. Works well across OSes; I use it on Linux, macOS, Windows and Android.

https://joplinapp.org/

The tools to manipulate SQL aren't that bad, no.

But rather than having a self explanatory markdown & flat file, now I have to start learning about the schema & making specific tools (in my preferred language) for manipulating Joplin's schema.

Suddenly I'm digging through 20 different technic specs to decode what data is where, how it works, and what I can do to it. Want to edit history? This is the best help you'll get, pray it's adequately technical to expedite you to your purpose: https://github.com/laurent22/joplin/blob/dev/readme/dev/spec...

As I began with, I struggle to imagine anything that generates anywhere near as much user agency as flat files and markdown. Having boring common data & systems lets me apply portable skills I already have, rather than having to skill up in some particular product's own ecosystem.

Joplin is a good open source option too, feels more like the original Evernote in terms of UI/UX https://github.com/laurent22/joplin/

Joplin, an open source, extendable, Markdown-based hierarchical note-taking app: https://joplinapp.org/

It lets you choose a synchronization backend, offers applications for every major desktop and mobile OS (also has a terminal version). You can create notebooks and subnotebooks to organize your notes. You can also add tags for better search experience. I created notebooks for specific domains (work-related, home improvement, etc.) and also keep a "temp" for quick notes and W.I.P. snippets.

Its only con that it uses Electron on desktop which causes relatively slow start of the application.

done