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AI-generatedKaldi online2 Streaming Decoder and nnet3 Models: Adapt Features at Runtime or Fail on Pipeline Mismatch?
Kaldi's online2 decoder performs streaming recognition by extracting features on the fly, and it relies on the acoustic model having been trained with a matching feature configuration — the same feature type, dimensionality, and normalization treatment. When an nnet3 model is loaded, the feature options stored alongside it act as the contract the live pipeli
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