//notice how the interpolation quantizes to the FFT bins. Like most spectral processes, it benefits from oversampling the fft... at the cost of CPU power, obviously.
// when the signal is steady, larger hopSize can be accommodated to save back on the CPU
{FluidAudioTransport.ar(SinOsc.ar(220,mul: 0.1),SinOsc.ar(440,mul: 0.02),MouseX.kr(),windowSize: 8192)}.play; // here we get a default hop of half the window so 8 times less than above.
//if you CPU can cope, try this setting, almost smooth, but attacks would smear (the Y axis mixes some in to hear the effect)
// note that the process is quantized by the spectral bins. For an example of the pros and cons of these settings on this given process, please see the real-time FluidAudioTransport helpfile.
// more interesting sources: two cardboard bowing gestures
(
b = Buffer.read(s,File.realpath(FluidBufAudioTransport.class.filenameSymbol).dirname.withTrailingSlash ++ "../AudioFiles/Green-Box641.wav");
"% % %\n".postf((start/512).asInteger,((end-start)/512).asInteger + 3, array[12]);//adding some of the overlap but not more to not capture too much of the next attack
nb = nb - 1;
if (nb == 1, {"Done".postln;});//check if we've done all the pairs
})
}).wait;
});
}).play;
)
//obtain the order of indices that would sort the stats
h = g.order;
//play in loop the slice in order of pitch direction (the median of the slice's pitch variation) - mouse on the left should be descending, in the middle should be more stable, and it should be ascending on the right.
//play in loop the slice in order of pitch direction (the median of the slice's pitch variation)
Pierre Alexandre Tremblay
5 years ago