mravanelli / pytorch-kaldi

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
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BLSTM #51

Closed narcise closed 5 years ago

mravanelli commented 5 years ago

Sure, if you take a look into config file "cfg/TIMIT_baselines/TIMIT_LSTM_fmllr.cfg you can see that the lstm architecture has a flag called "lstm_bidir=True". When true, you have a bidirectional rnn, when false a unidirectional one. Note that a similar flag is available for the other rnn models that we have implemented such as the GRU and light GRU models. I suggest to derive your own application starting from these simple examples (see librispeech or timit cfg files).

Mirco

On Feb 16, 2019 17:39, "narcise" notifications@github.com wrote:

Is there any configuration for Bidirectional LSTM in Pytorch-KALDI? What is your best suggestion to train my data with BLSTM?

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