Is this something worth trying for speech ?

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 issue names no files, tests, or entry points. Start by reading the repository's TensorFlow HMM implementation and comparing its training and decoding scope with the proposed DNN-HMM and Kaldi pipeline. Clarify whether the goal is a feasibility discussion or an implementation, then define what support for low-resource speech must include.

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