# Speaker Recognition

A speaker embedding model based on the ResNet34 architecture, fine-tuned with large margin, trained on the VoxCeleb2 dataset, supporting tasks such as speaker recognition and similarity calculation.

A speaker embedding model based on ResNet293 architecture, optimized with large margin fine-tuning, supporting tasks such as speaker recognition, similarity calculation, and speech segmentation

This is a TDNN model pre-trained using SpeechBrain for extracting speaker embedding vectors, primarily applied to speaker verification and recognition tasks.

Speaker recognition model based on Hubert-Large architecture, trained on the VoxCeleb1 dataset for speech classification tasks

Hubert-based speaker recognition model optimized for the SUPERB benchmark tasks