Add NEST SSL to main
Will model weights be open after merge? > Will model weights be open after merge?

@sphmel Yes we will opensource the checkpoints as well, after PR is merged @stevehuang52 PR is merged! Are checkpoints, and any usage guide available now? I can not find in docs, and this repo Hi @sphmel, the docs and usage guide will be added by another [PR](https://github.com/NVIDIA/NeMo/pull/10804) (work in progress). As for checkpoint release, I'm sorry that some LibriLight audios used in training NEST are no longer available for public usage, and we have to re-train the model without those audios. I'll keep you posted as soon as we get new checkpoints. Thanks for your patience~! @stevehuang52 Is there any update on checkpoint release?  @sphmel the checkpoints are ready, just need some legal review process before release, I'll finish them this month. @sphmel Sorry for the delay, the checkpoints are available on HuggingFace:
- https://huggingface.co/nvidia/ssl_en_nest_large_v1.0
- https://huggingface.co/nvidia/ssl_en_nest_xlarge_v1.0 @stevehuang52 Thank you! I really expect NEST's multilingual performance. Does new model perform as reported in paper? Also, how do you think about its performance on asian language? @sphmel The performance should be very similar to those presented in the paper, when using the exact same setting. I didn't check all tasks, but on those that I checked the difference is within 0.02. We are still training the multilingual models and will release them later~ 
# What does this PR do ?

Add NEST SSL to main

# Change Log

- Add NEST model, dataset and related modules.
- Add support for assigning dataset names via setting `validation_ds.name=[val1,val2]` in hydra (`model_utils.py`).
- Add support for validating with speaker verification metric (EER) in `label_models.py`, `audio_to_label.py`
- misc fixes and improvements

**Collection**: [asr]
