Add Speaker Verification Tutorial and EER/min-DCF Calculation in Speaker Identification Notebook

[anant-c]

Is your feature request related to a problem? Please describe.

Currently, the tutorial for speaker identification and verification in Speaker_Identification_Verification.ipynb does not include a clear guide on performing speaker verification after embedding extraction. Additionally, evaluation metrics such as Equal Error Rate (EER) and minimum Detection Cost Function (min-DCF) are not covered in the tutorial, making it difficult for users to validate their models effectively.

Describe the solution you'd like

It would be beneficial to extend the existing tutorial to include:

1. Speaker verification steps after embedding extraction – Demonstrating how to compare embeddings to verify speaker identity.
2. Evaluation metric calculations – Adding implementations for EER and min-DCF on a test dataset.

Describe alternatives you've considered

• Referring users to external resources for speaker verification and evaluation metric computation. However, having these steps integrated into the official tutorial would provide a more seamless experience.
• Implementing a separate tutorial notebook specifically for speaker verification, but updating the existing one would maintain continuity.

Additional context

Including these improvements in the tutorial would help users better understand how to validate speaker verification models, leading to better model tuning and evaluation. Let me know if I can assist further in refining this request! 🚀