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As a research work, I am trying to build a DNN-HMM model for low resource speech. Do you think I can use this for the hmm implementation for training and decoding since there is no library in tensorflow supporting HMM?
I am really thinking of scaling this hybrid model and keeping it neater than a traditional kaldi pipeline though accuracy is something I am not worried about currently.
Please lemme know.
The text was updated successfully, but these errors were encountered:
I dont see why not. If you want to explore this, I recommend benchmarking it for your particular use case. I have found it can become slow as the number of states increases.
As a research work, I am trying to build a DNN-HMM model for low resource speech. Do you think I can use this for the hmm implementation for training and decoding since there is no library in tensorflow supporting HMM?
I am really thinking of scaling this hybrid model and keeping it neater than a traditional kaldi pipeline though accuracy is something I am not worried about currently.
Please lemme know.
The text was updated successfully, but these errors were encountered: