I agree that using JavaScript increases the chance of participation. I released a few versions of Thai word breakers in different programming languages. One on node.js is the most popular. 8 people contributed to the JS-based project compared to 2-3 people in other programming languages. However, JS has a downside too. In 2017, @iporsut and I made an experiment to compare Thai word breakers that we created. JS version running time is 15X of the Rust version. Even by comparing with another dynamic language, the Julia version is faster than the one in JS.
I created a website using node.js in 2014, and it is still running. The performance is good. However, I have a few regrets.
I tried to so many things on Lenovo Miix 300 with a touchscreen. Only Ubuntu works. Even Ubuntu works partially. Some apps don’t work with an onscreen keyboard. And, yes, Ubuntu with GNOME is very slow and consume almost all RAM in my computer. I can’t work using it. So, in short, as far as I know, a distro, which you are looking for, doesn’t exist.
Until 1999, Qt was proprietary software. GNOME was started as a free/open/libre alternative. In 1995-1997, we had Fvwm and LessTif, but IMO they looked from the 80s.
If GTK wasn’t released in 1998, perhaps Qt would still be proprietary software. If corporates and people abandon GTK, perhaps Qt will become fully proprietary software again.
So I suppose having one DE is too risk for the whole eco-system. Unlike Microsoft or Apple, we are not one company.
Chromium OS or Fedora Silverblue.
If they are a tech, you might wanna go with a flavor of Ubuntu.
If they are willing to become proficient and experienced with GNU/Linux as a distro as a tech, maybe something like Arch
I guess they are going to use Facebook, Google Meet, LINE, a word processor, and a spreadsheet.
[Longer version]
Thanks to Common Voice contributors, Mozilla and @wannaphong@lemmy.ml , now we have a Wav2vec2 model for recognizing Thai speech available by training a wav2vec2 model on the Common Voice dataset. Now, I can use the model to convert my speech to text on the Huggingface website. It works accurately. I love it.
However, using speech-to-text on the Huggingface website seems to be for testing. I want to use it instead of typing on LibreOffice or Firefox. I did some explorations, but I didn’t find anything that I could use.
Is there any speech recognition software on GNU/Linux which will work with a wav2vec2 model?