Language Coverage and Performance Verification System
Voxtral's language support is organized into two tiers: Core Advantage Languages and Extended Languages:
- First Tier of European Languages(French/English/German/Spanish, etc.) WER (Word Error Rate) < 8% in FLEURS benchmarking, achieving commercial-grade accuracy
- Emerging Markets Language(Hindi/Portuguese, etc.) Validated with Mozilla Common Voice dataset, excellent performance in conversational scenarios
Its multilingual capability validation uses a triple mechanism:
- Standardized dataset testing (with pronunciation variants and accent samples)
- Cross-Language Transfer Learning Evaluation (Validating the Generalization Ability of Models on Low-Resource Languages)
- Real scenario stress testing (e.g., multilingual mixed input in a noisy environment)
Notably, the model has a native advantage in French language processing, supporting multiple dialectal variants including Quebec French.
This answer comes from the articleVoxtral: an AI model developed by Mistral AI for speech transcription and understandingThe