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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