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Adventure in ASR
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RBM and DBN
Some nice explanations on RBM and DBN from the paper Application of Deep Belief Network for Natural Language Understanding: RBMs can be trained using unlabeled data and they can learn stochastic binary features which are good for modeling the higher-order s...

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Kaldi lattices
Kaldi is based on WFST for decoding so is the lattices. Firstly, a WFST has a set of states with one distinguished start state; each state has a final cost; and there is a set of arcs between the states, where each arc has an input label, an output label, a...

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Learning
I always believe the best way to start a new exploration is to follow what has been done and get familiar and understand their choices. I hence started with reproducing the system included in Kaldi for the limitedLP Vietnamese task. 1). Lexicon preparation....

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