RichyChen / kaldi-lstm

C++ implementation of LSTM (Long Short Term Memory), in Kaldi's nnet1 framework. Used for automatic speech recognition, possibly language modeling etc, the training can be switched between CPU and GPU(CUDA).

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LSTM-projected BPTT in Kaldi nnet1

Diagram

Diagram

Notes:

  • peephole connection(purple) are diagonal
  • output-gate peephole is not recursive
  • dashed arrows: adaptive weight, i.e activations of (input gate, forget gate, output gate)

Currently implementation includes two versions:

  • standard
  • google

Go to sub-directory to get more details.

About

C++ implementation of LSTM (Long Short Term Memory), in Kaldi's nnet1 framework. Used for automatic speech recognition, possibly language modeling etc, the training can be switched between CPU and GPU(CUDA).


Languages

Language:C++ 97.9%Language:Cuda 1.0%Language:Shell 0.7%Language:C 0.3%