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I ran into this also and ended up having to use ffmpeg to segment the audio. That said I have more memory I think so I wasn't hitting it for stuff until it's > 72 hours long
This stack overflow link explains it in more detail but something like: ffmpeg -i somefile.mp3 -f segment -segment_time 3600 -c copy out%03d.mp3 would make one hour segmented file in an automated fashion. That won't be doing anything like making sure words aren't cut off or anything like that so depending on what you're doing that might not be acceptable. In my case I'm trying to pull things apart for some training data so it's not going to make too much of a difference for me overall.
Hi,
When I try to diarize more than 4-5 hours at the stage of diarization its consuming memory much and increasing until killing itself.
whisperx 6hour.wav --lang tr --model large --model_dir MODELSx/ --device cuda --diarize
how I can prevent to use t much cpu memory ? Or no solution?
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