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# Language Identification

The following schema describes language identification in `CUMULATIVE` mode.

    [langId]
    0 = a,ts <- audio(MONO, input)
    1 = f1  <- frontend1(_, a)
    2 = nf1 <- normalizer1(_, f1)
    3 = w   <- audiopreproc(A, a, nf1)
    4 = f2  <- frontend2(_, a)
    5 = nf2 <- normalizer2(_, f2, w)
    6 = lf1 <- lidfeature(_, nf2)
    7 = lf2 <- filter(LF_INCLUSIVE, lf1, w)
    8 = lid <- langid(_, lf2)
    9 = output <- lidout(_, lid, ts)
    DefaultResults=out

`0` | The `audio` module processes the mono audio data.
`1` | The `frontend1` module converts audio data into speech front-end frame data.
`2` | The `normalizer1` module normalizes frame data from `1` (`f`).
`3` | The `audiopreproc` module in audio classification mode processes the audio (`a`) and normalized frame data (`nf1`).
`4` | The `frontend2` module converts the audio data from `0` into speech front-end frame data.
`5` | The `normalizer2` module normalizes the frame data from `4`, adapted according to the audio classification from `3` (`w`).
`6` | The `lidfeature` module converts normalized frame data from `5` (`nf2`) into language identification feature data.
`7` | The `filter` module filters the output from `6` (`lf1`) to include only language features that occur in segments that contain speech.
`8` | The `langid` module processes the language identification feature data from `7` (`lf2`) to identify the language.
`9` | The language identification information (`lid`) is written to the output file.

Related Topics

- Identify Languages in Audio

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