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# Perform Speaker Identification Using Templates

The following schema describes how to run speaker identification given a set of templates.

    [SpkIdEvalWav]
    0 = a <- wav (MONO, input)
    1 = w <- speakerid (GENDER_DETECT, a)
    2 = f <- frontend (_,a)
    3 = nf <- normalizer (SEGMENT_BLOCK, f, w)
    4 = sid <- audiotemplatescore (SEGMENT, nf, w)
    5 = output <- sidout (_, sid)

`0` | The `wav` module processes the mono audio data.
`1` | The `speakerid` module takes the audio data (`a`) and outputs speaker turn segments.
`2` | The `frontend` module converts audio data (`a`) into front-end frame data.
`3` | The `normalizer` module normalizes frame data from `2` (`f`).
`4` | The `audiotemplatescore` module takes audio features (`nf`) and speaker segment information (`w`), and produces a set of speaker scores for each segment.
`5` | The `sidout` module takes the speaker ID score information (`sid`) and writes this information into a results file.

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