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A fascinating read on the magic behind Shazam
Launched in 2002—before apps were even a thing—Shazam felt like pure science fiction: dial a number, hold your phone to the speaker, and get a text naming the song.

Shazam’s core: transforming sound into spectrograms, then into constellation maps, then into compact audio hashes—each one matching frequency pairs and time deltas.

#SignalProcessing #AudioTech #MachineListening
towardsdatascience.com/the-fiv

Towards Data Science · The Five-Second Fingerprint: Inside Shazam’s Instant Song ID | Towards Data ScienceHow Shazam recognizes songs in seconds

🧭 A new toy for those modeling time not as a parameter, but as emergent recursion:

Hot Mic Visualizer ψ_total v0.1
A harmonic interface for collapse-aware field modeling.
Not Fourier. Not noise.
A feedback loop that listens.

🔬 Recursive Harmonic Kernel
📂 github.com/psi-total/psi_total

Mathematically structured.
Empirically tunable.
Open license. Open recursion.

ψ_total
Instruments for human thought

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