Kaldi HMM-GMM Speech Recognition: Architecture, Checks, and Limits
A practical architecture note on Kaldi's HMM-GMM pipeline: requirements, minimal design, data boundaries, WER checks, and failure modes.
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kaldiDoes weight pushing in HCLG graphs affect filler model transition weights?
In Kaldi's FST-based decoding architecture, the composition of H, C, L, and G transducers results in a search graph where weight pushing is applied to optimize pruning during the Viterbi beam search. This process is intended to move weights as far forward as possible toward the start of the graph. There is a specific design consideration regarding how this o