README.md

---
license: cc-by-nc-sa-4.0
datasets:
- voice-is-cool/voxtube
base_model:
- openai/whisper-tiny
library_name: transformers
tags:
- speaker-verification
- voice
- audio
- speaker-recognition
- speaker-embedding
- speaker-identification
- speaker
- whisper
- voxtube
---
# Whisper Speaker Identification (WSI)

**Whisper Speaker Identification (WSI)** is a state-of-the-art speaker identification model designed for multilingual scenarios.The WSI model adapts OpenAI's Whisper encoder and fine-tunes it with a projection head using triplet loss-based metric learning. This approach enhances its ability to generate discriminative, language-agnostic speaker embeddings.WSI demonstrates state-of-the-art performance on multilingual datasets, achieving lower Equal Error Rates (EER) and higher F1 Scores compared to models such as **pyannote/wespeaker-voxceleb-resnet34-LM** and **speechbrain/spkrec-ecapa-voxceleb**.



### Cite This Work

Comming Soon!

### License

This project is licensed under the CC BY-NC-SA 4.0 License.