Conformer model support for Speaker Diarization
I tried offline Diarization with ASR using the following models
1. stt_en_quartznet15x5 
2. stt_en_conformer_ctc_large
3. stt_en_citrinet_1024
But running the sample code for diarization with asr works for the first and third models. The second model conformer ctc large is giving blank output with the following message: 
->Only EncDecCTCModelBPE models trained with per_feature normalization are supported currently. 
I tried with the example notebook of the NeMo repository as well. 
<img width="978" alt="Screenshot 2022-03-23 at 11 37 01 PM" src="https://user-images.githubusercontent.com/10113553/159766811-04288452-46a5-4531-a9a2-f162a49fd21b.png">

[[Ref source link]
](https://github.com/NVIDIA/NeMo/tree/main/examples/speaker_tasks/diarization)
<img width="702" alt="Screenshot 2022-03-23 at 11 33 45 PM" src="https://user-images.githubusercontent.com/10113553/159766263-b5e3ab3b-dcac-4e5f-8204-f71d3577e0b0.png">




Please suggest a solution if I am missing something or is it not supported yet by the NeMo stack yet.

Thanks,
Rafi
 