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accento-v2.0 – AI Model by DelosLogic | AlphaNeural AI

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DelosLogic/
accento-v2.0

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speech-recognition

trinidadian-creole

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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