What is the procedure of training one far-distance ASR model for noise environment

Hi,
As we all know, recipes in kaldi is mostly for quiet environment. Now I want to train a ASR model with **chain model** for noise environment. my question is as follows:
1) Does i need to add noise segments to clean wav in GMM training stages? Namely, only clean wav can be used in GMM training stages, is right ?
2) the procedure of adding noise segments appeared in after GMM training and before chain model training，is right?. And, we need to use 'steps/align_fmmr_lats.sh' for realigning. is right ?
Please tell me the whole procedure of training one far-distance ASR model with chain model for noise environment. Thank you

Start by reviewing the Kaldi recipes and the steps/align_fmmr_lats.sh script named in the issue. The requested outcome is a complete, documented chain-model training procedure for far-distance speech in noise, including answers about clean or noisy GMM stages and when realignment occurs.

Written by the indexing model from the issue text.