kaldi-active-grammar VS futurecoder

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 have recently found a neat new (to me) resource for learning Python. It's called futurecoder and you can find it at https://futurecoder.io.

If you’re interested in learning Python, i’ve been messing around with this site today and it’s been pretty cool! link

here's how I started my journey (SWE at aerospace now)

1.https://futurecoder.io/

futurecoder — interactive, includes integrated debuggers, enhanced tracebacks, hints for exercises and more

I really enjoyed https://futurecoder.io when starting. It makes diving deeper into udemy courses very easy, and helps to actually read and understand code.

As for courses, there are many great, free Python courses on YouTube, but I recommend this Harvard CS50 Intro to Programming with Python course. Or, if you are looking for something a bit more interactive, check out futurecoder.io. I just discovered it recently, and it is great (completely free, as well).

https://cs50.harvard.edu/python/2022/ https://futurecoder.io/ https://roadmap.sh/python https://www3.ntu.edu.sg/home/ehchua/programming/webprogramming/Python1\_Basics.html#zz-1.

I believe your application needed to be "complete" in order to be eligible. Good luck next time! There's also lots of other resources for learning python like Coursera's programming for everybody or http://futurecoder.io