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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