I am trying to use the templates provided in Google Colab to train an Acoustic Model for my own data. My data is already very noisy and I would not prefer to add any more env/background noise.
I think the best way to achieve that is to:
- change the values of all the parameters in “env_corrupt” to “0” in the hyperparameter-yaml file?
- comment the appropriate steps in prepare_features() & prepare_tokens() functions in Brain (ASR) class?
Can anyone verify whether I am correct? Appreciate your help!