I recently tried setting up an M.2 Coral TPU on a machine running Debian 12 'Bookworm', which ships with Python 3.11, making the installation of the pyCoral library very difficult (maybe impossible for now?).
Some of the devs responded 'just install an older Ubuntu or Debian release' in the GitHub issues, as that would give me a compatible Python version (3.9 or earlier)... but in this case I didn't want to do that.
Late last year, OpenAI announced Whisper, a new speech-to-text language model that is extremely accurate in translating many spoken languages into text. The whisper repository contains instructions for installation and use.
tl;dr:
# Install whisper and its dependencies.
pip3 install git+https://github.com/openai/whisper.git
# (When needed) Update whisper.
pip3 install --upgrade --no-deps --force-reinstall git+https://github.com/openai/whisper.git
# Make sure ffmpeg is installed.
brew install ffmpeg
# Translate speech into text.
whisper my_audio_file.mp3 --language English
One thing I do quite regularly for my YouTube channel is extract the audio track, convert it to text using an online tool (I used to use Welder until they were bought out by Veed), and then hand-edit the file to fix references to product names, people, etc.
According to AI, this is me.
Or at least, what I look like if I deliver the prompt Jeff Geerling, realistic, photograph, sharp focus to Stable Diffusion, a machine learning, text-to-image model. But if you take that same prompt and paste it into the Stable Diffusion Demo, you'll get a different result.