Multilingual Accent Recognition Enhancement Program
The Kyutai project currently supports English and French and offers the following solutions to the accent recognition problem:
- data-enhanced training: Use the officially provided
train_hybrid.pyScript loads customized dataset containing multiple accents (retrain last 3 layers) - speech parameter normalization: Applied during pre-processing
--norm-gainparameter automatically adjusts the volume of the--denoiseEliminate background noise - mixed model strategy: English recognition can be used in combination:
- Master Model:kyutai/stt-2.6b-en(generic scenario)
- Auxiliary models:kyutai/stt-1b-en_fr(French loanword processing) - Real-time feedback optimization: Returned via WebSocket
confidence_scoreFields (0-1) identify low confidence segments, triggering secondary validation
For unofficial support languages, try the community fine-tuning model on Hugging Face, or via thetransfer_learning/Catalog for cross-language transfer learning (requires 5-10 hours of fine-tuning).
This answer comes from the articleKyutai: Speech to text real-time conversion toolThe
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