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# Audio Fingerprint Identification

The following schema describes how to define an audio fingerprint (AFP) identification task.

    [AFPMatchWav]
    0 = a ← wav(MONO, input)
    1 = fp ← afpfeature(_, a)
    2 = tr ← afp(_, fp)
    3 = output ← afpout(_, tr)

`0` | The `wav` module processes the mono audio.
`1` | The `afpfeature` module converts audio data into audio fingerprint features.
`2` | The `afp` module matches features against a database of known tracks.
`3` | The `afpout` module writes the identification results to file.

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