Comments (5)
Do you get the same issue when running other engines or datasets? Or is it only this combination of arguments?
from speech-to-text-benchmark.
I tried it with LibriSpeech/test-clean and got the same result. Here is a screengrab of my activity monitor before the crash.
from speech-to-text-benchmark.
However, when I try with WHISPER_SMALL I don't have the issue.
from speech-to-text-benchmark.
I see. Whisper large is a big model and takes a lot of RAM to run. By default we run a thread for each CPU count, and it has a copy of the model on each thread. Try reducing the amount of threads used in the benchmark using the --num-workers
argument? Try something like 7 or 8? I imagine then it will run fine.
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Closing due to inactivity
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Related Issues (11)
- WER? HOT 4
- Text Enhancement HOT 1
- Consider adding whisper.cpp and faster-whisper to comparison HOT 1
- del
- [CONTRIBUTION] Speech Dataset Generator HOT 1
- Great Work HOT 1
- feature request: compare with more ASR engines HOT 3
- please help me to solve this issue
- Compare against Mozilla DeepSpeech TFLite and update to current DeepSpeech? HOT 1
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