---
language:
- en
tags:
- whisper
- speech-recognition
- trinidadian-creole
- accent
- asr
license: mit
model-index:
- name: Accento V2.0
  results:
  - task:
      type: automatic-speech-recognition
    metrics:
    - name: WER
      type: wer
      value: 19.94
    - name: CER
      type: cer
      value: 10.00
---

# Accento V2.0 - Trinidadian Creole English ASR

Accento V2.0 is a fine-tuned Whisper Large V3 Turbo model optimized for Trinidadian Creole English.

## Performance
- **WER**: 19.94% (with beam_size=3)
- **CER**: 10.00%
- **54% better** than base Whisper
- **27% better** than Accento V1.0

## Usage

```python
from accento import AccentoTranscriber

# Auto-downloads from Hugging Face if not found locally
transcriber = AccentoTranscriber(model_path="models/accento-v2.0")
result = transcriber.transcribe("audio.wav")
print(result.text)
```

## Technical Details
- **Base**: Whisper Large V3 Turbo (809M params)
- **Method**: LoRA (rank=32, alpha=64)
- **Adapters**: ~106M parameters
- **Training**: 179 labeled samples + iterative training + model soups

## License
MIT License