Hey! So I've tried to denoise an audio file that's been uncompressed from a tight archive using this program and your wavelets-ext example and have the following results:

Original:

Audio-Denoising:

wavelets-ext:

Granted this audio doesn't have any background noise and computes an SNR of 100, but to me the denoising performed by this package seems to be an improvement over the original and doesn't have static crackles like the other option. The audio does sound slightly better than the original as well. Why then is this solution so much worse than the other? Is there a different algo I should be try when working with wavelets?

Not sure why but the denoised audio sounds like cut off sounds or little pulses of sound that have nothing to do with the original audio. The original audio is a speaker with some background noise, but the output sounds as if someone is plugging in and out their electric guitar really quickly (like the speaker pop sound). I am new to this so I do not understand the underlying tech, but why does the generateNoiseProfile function overwrite the input audio file. Should i be passing the input audio file to the generateNoiseProfile function? without calling generateNoiseProfile, my input and output audio sounds the exact same. I am also getting the warnings below, but I believe I read somewhere that the divide by 0 error is okay. Any explanation of how to use this properly and what might be causing my problems would be appreciated.

Thank you for the help!

UserWarning: Level value of 2 is too high: all coefficients will experience boundary effects.
  warnings.warn(s]
                      /home/ubuntu/.local/lib/python3.9/site-packages/pywt/_thresholding.py:22: RuntimeWarning: invalid value encountered in divide
  thresholded = (1 - value/magnitude)