For posterity: n_jobs, see here.

Ah well. Thanks for the info!

I don't know if something good exists. If you have a strong gpu you could try denoising autoencoders but afaik it's only "real-time" when you get like a 10k gou and for this price you can also do it realtime with cpus.

Do you have any recommendations for something that can perform noise reduction in realtime?

Oh yeap, gotcha. They seem fine. The GPU for instance on the Cloud is around 60C.

njobs or so, it's in the documentation

Hmmm ok sepformer usually works well.

Thanks for letting me know! How do you specify the number of threads?

It is, you can specify the number of threads it uses tho. For realtime it doesn't work I guess but it's the best I have ever seen actually.

I'm trying it out. I'm curious to check the result - it's pretty resource intensive!

I tried doing speech enhancement (denoising) using a SepFormer model (code here) and most of the talking is missing from the result. Probably in the considered case there's more background noise than usual :/

If no matter what you get 75% accuracy then you can consider yourself a game breaker But do test the model and when I say test I don't mean on a static subset you have tested again and again. For example - haven't read the code yet - pick last year...and train your model for the 60% of the games.. lets say its 100 games and you have trained for 60.. did you managed to predict accurately the 61st,62nd....70 (lets take in batches of 10)...now the next batch..are you still carrying an accuracy over 75% ? Like you I had a model for baseball that was around 60 % accurate...but when I put it on the test it failed hard For now such a high accuracy seems a good starting point but do test

Based on spectral gating, you can provide audio of the noise so it works better, works for stationary and non stationary noise.

Check out the noisereduce library!!

Yes, i got some understanding with that. Im good to go

Did you try to read the paper?

Check speechbrain on GitHub they have pretrained models

I guess you might want to do some Fourier transform, and do some tweaks in the frequency domain.

sorry, temperatures of GPU, CPU etc.

I looked online for hours and found no Sol. I came here as last resort.(i also had some box2d errors which I looked up online and solved after hours but this I couldn't find anything about). Since the tutorial uses old package versions i thought the problem was with that.
I found a new updated tutorial by huggingface- hopefully I won't end up with the same error again. Thanks either way!

right on Balocre.

env()

I see, so this shouldn't be causing the issue you reckon.

Thanks for the input. I just did sudo dmesg --follow and then run my model and I don't see any errors. It just informs it loaded the UVM driver...

The memory is reasonable unless, of course, I match it close to the limit (e.g., batch size).

And what are the "temps"?

that doesn't sound weird to me though, servers use much slower ecc ram probably....