FFmpeg 8.0 adds Whisper support
131–140 of 341 posts
Re: FFmpeg 8.0 adds Whisper support
#132Re: FFmpeg 8.0 adds Whisper support
#133Re: FFmpeg 8.0 adds Whisper support
#134Earlier quoted context omitted.
A good opportunity to point people to the paper with my favorite title of all time: "How to wreck a nice beach you sing calm incense" https://dl.acm.org/doi/10.1145/1040830.1040898
For folks like me puzzling over what the correct transcription of the title should be, I think it's "How to recognize speech using common sense"
Re: FFmpeg 8.0 adds Whisper support
#135Earlier quoted context omitted.
A good opportunity to point people to the paper with my favorite title of all time: "How to wreck a nice beach you sing calm incense" https://dl.acm.org/doi/10.1145/1040830.1040898
For folks like me puzzling over what the correct transcription of the title should be, I think it's "How to recognize speech using common sense"
Re: FFmpeg 8.0 adds Whisper support
#136Re: FFmpeg 8.0 adds Whisper support
#137Earlier quoted context omitted.
It looks like the model file needs to be supplied at invocation time, so the binary blob would not be required for packaging.
so 'apt install ffmpeg' won't be enough to have the feature?
Re: FFmpeg 8.0 adds Whisper support
#138Re: FFmpeg 8.0 adds Whisper support
#139Re: FFmpeg 8.0 adds Whisper support
#140Whisper is genuinely amazing - with the right nudging. It's the one AI thing that has genuinely turned my life upside-down in an unambiguously good way. People should check out Subtitle Edit (and throw the dev some money) which is a great interface for experimenting with Whisper transcription. It's basically Aegisub 2.0, if you're old, like me. HOWTO: Drop a video or audio file to the right window, then go to Video >…
uv has a feature to get the correct version of torch based on your available cuda (and some non-cuda) drivers (though I suggest using a venv not the system Python):
> uv pip install torch torchvision torchaudio --torch-backend=auto
More details: https://docs.astral.sh/uv/guides/integration/pytorch/#automa...
This also means you can safely mix torch requirements with non-torch requirements as it will only pull the torch related things from the torch index and everything else from PyPI.