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# Language Identification Feature Extraction

The following schema describes the creation of language identification feature files that you can use to create and optimize language identification classifiers.

    [LangIDFeature]
    0 = a ← wav(MONO, input)
    1 = f ← frontend(_, a)
    2 = nf ← normalizer(_, f)
    3 = lf ← lidfeature(_, nf)
    4 = output ← lfout(_, lf)

`0` | The `wav` module processes the mono audio data.
`1` | The `frontend` module converts the audio data into speech front-end frame data.
`2` | The `normalizer` module normalizes the frame data from `1` (`f`).
`3` | The `lidfeature` module converts the normalized frame data (`nf`) into language identification feature data.
`4` | The language identification feature data (`lf`) is written to the output file.

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