ASR transcribe_speech with Language Model
Hi, 
I have 2 questions about ASR Language Modeling:
1- Is there any implemented code in Nemo, for generating the json file of the predictions of an ASR model with a N-gram LM? Something like the [transcribe_speech_parallel.py](https://github.com/NVIDIA/NeMo/blob/main/examples/asr/transcribe_speech_parallel.py) code. I know that, I can easily implement this code via [Offline_ASR.ipynb Tutorial](https://colab.research.google.com/github/NVIDIA/NeMo/blob/stable/tutorials/asr/Offline_ASR.ipynb#scrollTo=nV1CAy0Dit-g). But I want to know if such a code is already available in the framework?
2- Would you please kindly describe what is the `Oracle WER/CER` mean when using the [eval_beamsearch_ngram.py](https://github.com/NVIDIA/NeMo/blob/main/scripts/asr_language_modeling/ngram_lm/eval_beamsearch_ngram.py) code? 
Best