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# Train Templates for Speaker Identification

The following schema describes how to train the speaker identification module with speakers.

    [SpkIdTrainWav]
    0 = a <- wav(MONO, input)
    1 = f <- frontend(_,a)
    2 = nf <- normalizer(BLOCK, f)
    3 = output <- audiotemplateTrain(STREAM, nf)

`0` | The `wav` module processes the mono audio data.
`1` | The `frontend` module converts audio data (`a`) into front-end frame data.
`2` | The `normalizer` module normalizes frame data from `1` (`f`).
`3` | The `audiotemplatetrain` module uses audio feature data from `2` (`nf`) to train a new speaker classifier, which is saved as an audio template file.

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