Maybe this is just my phone (and laptop), but volume control is irritating when some tracks are configured so that I need to set the volume to 70-80% and some tracks are so “naturally loud” that the lowest setting (5% ish for my phone) is distractingly loud.
On some of my tracks (especially for the classical music ones), within the same track I need to change the volume from 20% to 80% depending on what part I am listening to if I want to hear everything without killing my ear drums.
I get that it would be difficult to do anything about this for streaming or live audio since the phone doesn’t know in advance what the input will be, but for a pre-recorded mp3 file, couldn’t my phone do some digital signal processing?
Do I just have terrible electronic items and is this an issue anyone else experiences? Ot is this problem just harder to solve than I am expecting?
I’m glad to hear I’m not the only one thinking it!
Do you think it could be done by diffing a few of the different language tracks?
Unfortunately no, audio files are actually really dumb in that they’re basically just a file of 44100 (or 48000 or 96000 etc) amplitude numbers per second.
So there’s nothing really to diff because it’s basically just a squiggly line, set of squiggly lines or, when compressed, a mathematical expression that when decompressed, recreates a squiggly line.
You could isolate the dialog if you got ahold of a version with no dialog at all and then inverse the polarity of that and sum it with the original but it’s unlikely you’ll find a version without any vocals.
Machine learning vocal isolation tools are probably going to be the best way to go about it as a DIY approach. Ultimate Vocal Remover 5 with the demucs 4 algo is great FOSS software to extract vocals and you could sum that with the original track and adjust the gain to get louder dialogue… it would be a lot of work though…
I don’t really understand still but thanks for trying all the same.