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Aug 31, 2021 at 16:03 comment added User42 I was able to improve the identification. As my audios have music content, whose typical frequency distribution is like red noise, I changed the distr. to white noise, so the bass aren't so volume dominant anymore. Still I wished the alg would be more specific, but well... it's not so bad.
Aug 29, 2021 at 9:06 comment added User42 So I tried. And I saw... that this way is not specific enough to identify "temporarily interfering frequences": If I lower the thresholds to find everything I would like to, it also finds signals I don't want to find (Actually don't see any interfering frequences with Audition spectrogram). Looks like the alg needs to be more sophisticated to take account surrounding of the frequencies, and maybe value of that frequency (bass seem be found "more likely"). Thankyou anyway!
Aug 25, 2021 at 8:10 comment added User42 Thank you. This was about what was in my mind kind of vague too. But I was worried if that would take too much time. Which an advanced math dsp opterator maybe would do much better. So, I'll try ... and see.
Aug 24, 2021 at 20:25 history edited Hilmar CC BY-SA 4.0
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Aug 24, 2021 at 20:24 comment added Hilmar My algorithm does what you want. You just need to do it in each band individually. I'll edit to make this clearer
Aug 24, 2021 at 11:34 history answered Hilmar CC BY-SA 4.0