I'm new to speech recognition and deep learning and in a learning phase.
I'm trying to follow this paper to learn how to use RNN as posterior probability estimation in an HTK environment. The paper proposes RNN-HMM hybrid system, so for the HMM part I need to use HTK platform.
The problem is that I couldn't even start from anywhere. I have a sample code which uses HMM to recognize digits, but I'm unable to solve at which part should I insert RNN to the code.
If there are any ideas, I would be glad.
I have codes in python environment and HMM is applied using HTK. After converting data to MFCC format, I should use RNN, but after using RNN, which steps of HMM should I apply to generate RNN-HMM acoustic system.