May please my last post requesting further explanation from Mr. Trebor be perused.
I am aware that it is purely out of voluntary kindness that Mr. Trebor, Mr. Steve and a few other senior and experienced leaders of this forum help learners such as me, without vanity or airs.
I am certain that I couldn’t explain my perspective to Mr. Trebor clear enough for him to understand my specific concerns and consider clarifying my doubts. So I shall try to clarify myself further, unsure whether I would at all be able to:
I have read the notes in the file, popmute.py The explanations are fairly straightforward. Mr. Trebor must have been confused by my seeking further inputs when the explanations were already there.
My point is that I don’t have a crystal clear idea about the sound profiles of pop, click, clap and other noises in isolation to have a general understanding how to set up the filters to remove them. Assuming that the sampling rate is 44100Hz, I don’t have a clear idea of how pop, click, clap and other noises, such as white, brown, etc., noises might actually look like.
Presently, what popmute.py does for me is to isolate the silence areas that contains simple noises so that I could sample the entire file with the Noise Reduction Effect and then proceed to clean up the targetted audio file.
I would be much helped by a sound sample file of 2-4 minutes having these noises of varying patterns and amplitudes so that I understand it better how the popclick.py proceeds to eliminate these noises.
Also, I don’t have any clear idea about how the Effect “Noise Reduction…” works.
Any input would be welcome. It would be much appreciated if any 101 textbook could be suggested for this objective.