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---
license: mit
datasets:
- ProgramComputer/voxceleb
base_model:
- espnet/xeus
- facebook/w2v-bert-2.0
---
# 🗣️ Speaker Verification Checkpoints
This repository hosts pretrained and fine-tuned model checkpoints used in the course project [The Impact of Language on Automatic Speaker Verification Systems](https://github.com/Stefan2417/CourseWork).
The project explores the effectiveness of multilingual self-supervised speech models adapted for **speaker verification** using **PMFA** (Partial Multi-scale Feature Aggregation), especially in **low-resource and multi-lingual** scenarios.
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## 📦 Available Checkpoints
| File | Description |
|--------------------------------------------------|------------------------------------------------------------|
| `tunned_xeus.pth` | Fine-tuned XEUS encoder with full PMFA pipeline |
| `xeus_adapter_checkpoint.pth` | Adapter-only checkpoint for XEUS |
| `wav2vec-bert_adapter.pth` | Adapter-only for Wav2Vec2-BERT |
| `wav2vec2-bert_tunned_without_large_margin.pth` | Fine-tuned Wav2Vec2-BERT (standard margin) |
| `wav2vec2-bert-large-margin.pth` | Fine-tuned Wav2Vec2-BERT using large-margin classification |
> All checkpoints are compatible with the training and evaluation scripts in [Stefan2417/CourseWork](https://github.com/Stefan2417/CourseWork)
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