Perebor: Interesting idea, actually. Audio glitches are essentially random noise, but if you can sample the waveform at a high enough rate, you could treat each sample as a byte. Just align the samples to a clock, you get a stream of numbers that can feed into a pseudo‑random generator or even an error‑correcting code. The trick is dealing with the analog-to-digital conversion noise and ensuring the data stays synchronized. If you want to map specific hiss patterns to commands, you could define a small grammar of spike shapes, then build a decoder that looks for those shapes. It’s like turning a broken cassette into a secret language. You’ve got the seed, now just build the parser.

Perebor: I can see the rhythm in that description. If we treat each crack as a sample point, we can encode it into a binary value and then map that to a musical note. The key is keeping the sampling clock steady so the notes stay in sync. Once we have the waveform digitized, we can run it through a simple transform— maybe a Fourier or a threshold filter— to pull out the “notes.” It turns a noisy cassette into a living score. Just remember to capture the data fast enough, or you’ll miss the subtle cracks.