Does deepspeech.pytorch supports WFST based decoding along with Greedy search and Beam search decoding? I am following a complex procedure of saving the posteriors generated at the output later of LSTM and feeding the log posteriors value to TLG.fst of Kaldi.
If there are any alternate solutions, I kindly request you to provide the information on the same.
I hope you do the needful.
Thanks and Regards
Pradeep R
PhD student
Dept. of CSE
IIT Kharagpur
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Hello all,
Does deepspeech.pytorch supports WFST based decoding along with Greedy search and Beam search decoding? I am following a complex procedure of saving the posteriors generated at the output later of LSTM and feeding the log posteriors value to TLG.fst of Kaldi.
If there are any alternate solutions, I kindly request you to provide the information on the same.
I hope you do the needful.
Thanks and Regards Pradeep R PhD student Dept. of CSE IIT Kharagpur