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An architecture note on Kaldi nnet3 input feature normalization: requirements, minimal design, trust boundaries, operational checks, and failure modes for speech pipelines.
Batch versus online CMVN in Kaldi recipes Kaldi recipes do not document a single universal default for cepstral mean and variance normalization. In batch pipelines, compute-cmvn-stats typically produces a transform matrix that apply-cmvn later reuses for development and test data. Some recipes compute global statistics from the training set, while others der
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