How to reproduce the same result as in the paper, EER=0.66?
i get the eer=0.80, this is my code

`#!/bin/sh
CUDA_VISIBLE_DEVICES=3 python extract_speaker_embeddings.py --manifest=voxceleb1_test_manifest.json --model_path='./speakerverification_en_titanet_large/model' --embedding_dir='./speakerverification_en_titanet_large/embedding'

CUDA_VISIBLE_DEVICES=3 python voxceleb_eval.py --trial_file='./speech_database/voxceleb/vox_trial_pairs/veri_test.txt' --emb='./speakerverification_en_titanet_large/embedding/embeddings/voxceleb1_test_manifest_embeddings.pkl' `

and i found the model is:
Found existing object .cache/torch/NeMo/NeMo_1.17.0/titanet-l/11ba0924fdf87c049e339adbf6899d48/titanet-l.nemo.
100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 37720/37720 [00:00<00:00, 110401.53it/s]
0.80 
So I want to know what went wrong? thanks very much!!

