MedAsr Series
Notes
- Model architecture: Based on Conformer, a medical-domain speech recognition model released by Google Health
- Application scenarios: Suitable for radiology dictation, doctor-patient dialogue, medical transcription, etc.
- Supported languages: English only (primarily American English)
- Model characteristics: Pre-trained on approximately 5,000 hours of medical speech data, strong recognition of medical terminology. Performance on non-standard drug names and structured data such as dates/times may vary, suitable for fine-tuning to adapt to specific business scenarios

