Speaker Verification
Hi!

I trained the model using:
https://github.com/NVIDIA/NeMo/blob/main/tutorials/speaker_tasks/Speaker_Identification_Verification.ipynb

```
import nemo.collections.asr as nemo_asr
from omegaconf import OmegaConf
import torch
import pytorch_lightning as pl
import os

speaker_model = nemo_asr.models.EncDecSpeakerLabelModel.load_from_checkpoint('/home/denis/ttt/result/TitaNet/2022-08-05_08-47-00/checkpoints/TitaNet--val_loss=2.3548-epoch=9-last.ckpt')
#decision = speaker_model.verify_speakers('/home/denis/ttt/data/an4/wav/an4_clstk/mjes/cen7-mjes-b.wav','/home/denis/ttt/data/an4/wav/an4_clstk/mjes/cen2-mjes-b.wav')
decision = speaker_model.verify_speakers('/home/denis/ttt/data/an4/wav/an4_clstk/mjes/cen7-mjes-b.wav','data/an4/wav/an4test_clstk/fcaw/an406-fcaw-b.wav')

print(decision)
```
It works!

I can compare two files. Is there a method to compare all my speakers (many files) with another single file?
Do I need to use a loop or another method?
