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# Audio Fingerprint Identification

The following diagram shows the modules in HPE IDOL Speech Server that create audio fingerprints in a single step.

| The `wav` module reads the audio file and prepares windowed data. a is the audio window series. The `afpfeature` module takes each window of samples and converts it to a time series of AFP features, based on significant audio events. fp is the feature vector series. The `afp` module matches the AFP features against tracks stored in the fingerprint database feature vectors. tr is the recognized track labels and time positions. The `afpout` module prepares the output audio track labels and time positions for storage and result reporting.

The schema that implements this feature is:

    [MyAfpMatch]
    a ← wav (MONO, input)
    fp ← afpfeature (_, a)
    tr ← afp (_, fp)
    output ← afpout (_, tr)

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