I was trying to find any use for those large language models and found whole site with autotranscribed WWDC videos. I looked into whisper.cpp and after some bugreporting it installs and works even on 20 years old processor! https://files.mastodon.online/media_attachments/files/117/206/767/104/645/63... I used base model: wget https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.en.bin\?download=true and "jfk.mp3" sample (real classic!): wget https://github.com/ggml-org/whisper.cpp/raw/refs/heads/master/samples/jfk.mp... I think in my case without any acceleration and just 2 2GHZ cores it processed 11 seconds in 126 or so seconds,so def. not realtime, but a) there are turbo variants of model b) usually people have more powerful machines with gpu, so may be it can be used for auto-transcribing some long lecture or somesuch. This speech-to-text was promised LONG ago and I guess only now, after serious sacrifices in terms of energy and other damages by Big Bro Tech, actually becoming usable ... :/ But I figured if I used OCR for all those 25 years I can use this STT engine too, at least for testing.