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Linux is a family of open source Unix-like operating systems based on the Linux kernel, an operating system kernel first released on September 17, 1991 by Linus Torvalds. Linux is typically packaged in a Linux distribution (or distro for short).

Distributions include the Linux kernel and supporting system software and libraries, many of which are provided by the GNU Project. Many Linux distributions use the word "Linux" in their name, but the Free Software Foundation uses the name GNU/Linux to emphasize the importance of GNU software, causing some controversy.

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Automatic Speech Recognition in Linux - Seeking Experiences and Recommendations (lemmy.world)

submitted 3 months ago by njordomir@lemmy.world to c/linux@lemmy.ml

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Hi folks, I'm in a bit of a personal crisis currently and need to quickly find a piece of speech transcription software that works on Linux and does not require a significant time investment to set up and can help me transcribe a number of audio clips <15 min. each.

Can someone recommend a program that can transcribe some audio recordings for me and is relatively simple to set up and use?
Do such programs need a GPU to run effectively? I'm running a Dell XPS 9370 laptop which only has internal graphics.

My backup plan is to listen and transcribe by hand, so recommendations of a program that will allow me to self-transcribe by typing while listening at a reduced rate are also appreciated.

If any experienced transcribers are reading this, have you found that your pedals worked well with Linux?

Normally I would try out all the different programs and do more than the small number of searches I've done, but my timeline doesn't allow time for to build a cluster of custom-coded transcription bots running gentoo on hand-soldered hardware.

My environment is EndeavorOS running on a Dell XPS 9370,internet is over Wifi, with no external dongles or anything currently hooked up.

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[–] Maxy@lemmy.blahaj.zone 2 points 3 months ago (1 children)

I’ve had good experiences with whisper.cpp (should be in the AUR). I used the large model on my GPU (3060), and it filled 11.5 out of the 12GB of vram, so you might have to settle for a lower tier model. The speed was pretty much real time on my GPU, so it might be quite a bit slower on your CPU, unless the lower tier models are also a lot faster (never tested them due to lack of necessity).

The large model had pretty much perfect accuracy (only 5 or so mistakes in ~40 pages of transcriptions), and that was with Dutch audio recorded on a smartphone. If it can handle my pretty horrible conditions, your audio should (hopefully) be no problem to transcribe.

[–] njordomir@lemmy.world 2 points 3 months ago

I used the base model and it ran at a very acceptable speed with CPU only. Decent accuracy considering the recording was mediocre quality at best. Thank you for the suggestion.