konsumer
commented
6 years ago I am not a maintainer of this project, but I found it so useful, I'd like to help.
Did you have a look at the demo? At the bottom is a spectrogram.push() which is pushing the FFT audio-analyzer data, in a single slice of time. This is pretty standard for spectrograms, implemented in other languages. I'm not sure why you expect it to be dB + time, but that's not what a spectrogram does.
A spectrogram is a visual representation of the spectrum of frequencies of sound or other signal as they vary with time or some other variable.
The demo is doing FFT analysis to give you a visualization of the spectrum of frequencies that is playing as the music scrolls by the playhead (the right edge of the color.)
I must say, this is the nicest looking 2D spectrogram implemented in GLSL that I have seen, but it's pretty standard.
Also, as a sidenote, @dfcreative made this code for free. @dfcreative doesn't owe you the thing you have in your head (ill-conceived or not.) If you think it should do something else, submit a PR, or ask a question about how to get what you want (which @dfcreative is also not obligated to answer or integrate) or make your own, with free inspiration, that works the way you think this should. That's the cost of free software.
nicopace
What I expected:
Write now, the proposed example in the readme is not a complete example... it lacks a way to format data.
It is not clear how to structure the data that is pushed into the visualization.
I would expect a way to tell: sample (in dB) and timestamp (so I can receive information asynchronously).
What I found:
no working example that facilitates the use of the code.