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# Train Templates for Speaker Identification

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

    [ivSpkIdTrainAudio]
    0 = a <- audio(MONO, input)
    1 = f1 <- frontend1(_,a)
    2 = nf1 <- normalizer1(_, f1)
    3 = w <- audiopreproc(A, a, nf1)
    4 = f2 <- frontend2(_,a)
    5 = nf2 <- normalizer2(BLOCK, f2)
    6 = nf3 <- filter(FEAT_INCLUSIVE, nf2, w)
    7 = output <- ivfile(CREATE_STREAM, nf3)

`0` | The `audio` module processes the mono audio data.
`1` | The `frontend1` module converts the audio data from `0` into front-end frame data.
`2` | The `normalizer1` module normalizes the frame data from `1`.
`3` | The `audiopreproc1` module in audio classification mode processes the audio (`a`) and normalized frame data (`nf1`).
`4` | The `frontend2` module converts the audio data (`a`) into front-end frame data.
`5` | The `normalizer2` module normalizes the frame data from `4`.
`6` | The `filter` module filters the output from `5` (`nf2`) to include only frames that occur in segments that contain speech.
`7` | The `ivfile` module trains the iVector feature files.

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