How to Enable Spec Augmentation During Testing or Transcription
I managed to figure it out, and for those who are searching, they might find this as a helpful reference: 

To address the issue, you can modify the code in `nemo/collections/asr/models/ctc_models.py`. Specifically, navigate to line 502, which is:

```
if self.spec_augmentation is not None and self.training:
```

You should update this line to:

```
if self.spec_augmentation is not None:
```

This change ensures that the `self.training` condition is no longer required for `spec_augmentation`. The rest of the configuration can remain unchanged.

Disclaimer: For you it might be possible that you have used different config., you have to modify that script accordingly
I have successfully applied Spec Augmentation during training, but I would like to know how to enable Spec Augmentation while testing or transcribing hypotheses.

Is it possible to apply Spec Augmentation during testing or transcription? If so, could you provide the necessary configurations or code snippets?

Thank 