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# Audio Speech-to-Text Conversion

IDOL Speech Server can perform real-time speech-to-text conversion on a file or audio stream. The following sample configuration is for such a task.

    [SpeechToText]
    0 = a,ts <- audio(MONO, input)
    1 = f <- frontend(_, a)
    2 = nf <- normalizer(_, f)
    3 = w1 <- stt(_, nf)
    4 = w2  <- postproc(_, w1)
    5 = output <- wout(_, w2, ts)
    DefaultResults=Out

`0` | The `audio` module processes stream audio data.
`1` | The `frontend` module converts audio data into speech front-end frame data.
`2` | The `normalizer` module normalizes frame data from `1` (`f`).
`3` | The `stt` module converts normalized frame data from `2` (`nf`) into text.
`4` | The `postproc` module runs any post processing tasks on the results from `3` (`w1`).
`5` | The `wout` module writes the recognized words resulting from `4` (`w2`) to the output file.

You can also use the `[SpeechToTextFilter]` schema to combine audio stream-to-text conversion with speech classification in a single step so that you can then remove sections classified as music or noise from the resulting output file.

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