concurrent.futures.process.BrokenProcessPool: A process in the process pool was terminated abruptly while the future was running or pending. about denoiser HOT 17 OPEN

@agupta54 with --streaming I think the problem should go away.

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How much RAM do you have? Can you try passing --num_workers=1 to the command?

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I also had this issue and --streaming flag solved it.
Thank you @adefossez for the tip!

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@adefossez I am using Google Colab GPU which gives me 12 GB RAM
I tried to pass --num_workers=1 but it gives me that and it didn't denoise the audio

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How big is your file ? You could also try to pass --streaming, although I'm not sure it would help.

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@adefossez it is 15 mins wav file, i will try it

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@adefossez I splitted the audio into (3sec) audios and the code run but the result was horrible!
https://drive.google.com/file/d/1-0zOzQ2Fo0f3qwxnmLZ6Abnqc2bOoqSI/view?usp=sharing

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3 seconds is really too short, you should do at least 10 secs. have you tried the streaming version ? normally I would expect it to use very little memory overall.

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@adefossez I tried the streaming version, I passed a 10 mins audio and the output is so BAD
https://drive.google.com/file/d/1-EOc4XVHvK919U4xprsj9T8_XIcJY1Rr/view?usp=sharing

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is your audio sampled at 16khz and mono channels ?

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@adefossez no its sampling rate is 44100 and i am passing this at the command and yes it is mono it was stereo but i converted it into mono also its extension was mp3 and i converted in into wav

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the audio must be 16kHz :)

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@adefossez I tried other audios with sampling rate otherthan 16KHZ and passed the --sampling_rate value in the command and it worked, i think the problem with conversion of stereo into mono in this audio file

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Well if you pass the --sampling_rate value it is not going to adapt what the model has been trained for, so you still need to resample to 16khz

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@adefossez so what is the use of --sampling_rate

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The use is to specify the sample rate you trained the model with. If you train a new model with a different sample rate then you should use it.

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I am getting the same error when I am trying to enhance files of greater than 23 minutes duration. My files are mono channel, 16 bits per sample and a sample rate of 16000. With --num-workers 1 also I am getting the same error.

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