Hi folks,
I am a SC beginner, and I feel that I tend to reproduce the same strategies when it’s about to filter and distort a sample based signal. (typically a sound file played throught a buffer): basically using the different UGens filters and applying the .abs, .cubed . soft (and so on) techniques of distortion. I would like to open my mind a little bit and to know if you have techniques based on a totally different principle. As an example, techniques that would use the most primitive instance of a soundfile (frames by frames, fourier analysis, wave deconstruction…) in order to process radically the spectrum and the dynamic of the sample. I know it could sounds quite general but any fresh idea would be great.
As an example, I would like to understand how I could:
1/ reverse the spectrum of a sample based signal : attenuate radically the frequencies where the energy is dense, while boosting where it is really low. Would it be possible to determinate for instance 32 band of frequencies, get the datas (as a spectrogram do) and proportionally reverse its spectral density, like a weird mirror ?
2/ applying a full wave rectification distortion?
3/ to rearrange the sample order of a signal, backwards (the last sample becomes the first sample. The second-to-last sample becomes the second sample and so on) or even on a random order?
Thanks a lot.