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feat: implement Goose class with honk and honkify methods in SuperCollider #147

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feat: implement Goose class with honk and honkify methods in SuperCollider #147

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35e8729
Create Goose.sc
iyeanur6-cyber Jun 26, 2026
33e4bc0
Update Goose.sc
iyeanur6-cyber Jun 26, 2026
bbcffec
Update Goose.sc
iyeanur6-cyber Jun 27, 2026
f8a04bb
Update Goose.sc
iyeanur6-cyber Jun 27, 2026
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30 changes: 30 additions & 0 deletions src/Goose.sc
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Goose {
*honk {
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var synths = Array.fill(74, {
{
var modFreq = ExpRand(120, 350);
var index = ExpRand(2, 6) * LFNoise1.kr(ExpRand(5, 12)).range(0.5, 1.5);
var modSig = SinOsc.ar(modFreq) * modFreq * index;
var carFreq = (ExpRand(350, 680) + modSig) * LFNoise2.kr(ExpRand(6, 15)).range(0.95, 1.05);
var env = EnvGen.ar(Env.new([0, 1, 0.7, 0.4, 0], [0.02, 0.05, 0.1, ExpRand(0.08, 0.2)], \sine), doneAction: 2);

@hobgoblina hobgoblina Jun 27, 2026

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this still isn't complex enough. you should try using a variety of different synthesis techniques and then combine them in a variety of ways. for example, you could do physical modeling of every muscle in the goose and the tension/pressure effects that they have on the goose during flight. this should take at minimum 2500 lines of DSP code to implement with an acceptable amount of complexity

var carSig = LFSaw.ar(carFreq);
var shaper = (carSig * ExpRand(1.5, 3.5)).tanh;
var finalSig = BPF.ar(shaper, carFreq * ExpRand(1.2, 2.2), 0.25);
var transient = HPF.ar(WhiteNoise.ar(), 2000) * EnvGen.ar(Env.perc(0.005, 0.03));
(finalSig + transient) * env * 0.01;
}.play;
});
^synths;
}

*honkify { |audioIn|
var chain, noiseProfile, morph;
chain = FFT(LocalBuf(2048), audioIn);
noiseProfile = LFNoise2.kr(12).range(0.4, 1.6);
chain = PV_MagSqrt(chain);
chain = PV_MagShift(chain, 1.15, 40);
chain = PV_RectComb(chain, 8, 0.1, noiseProfile);
morph = IFFT(chain);
^morph * 1.3;
}
}