Deepgram is proud to announce the release of Nova-3-Medical, our most advanced speech-to-text model designed specifically for clinical environments. Built on the foundation of Nova-3, this specialized model delivers superior transcription performance for healthcare applications.
Performance Improvements
63.7% reduction in word error rate (WER) compared to next-best competitor (3.44% median WER)
40.35% reduction in Keyword Error Rate (KER) compared to next-best competitor (6.79% KER)
10.6% improvement in Keyword Recall Rate (KRR) over Nova-2-Medical (93.99% KRR)
Maintains industry-leading inference speed with ultra-low latency for real-time healthcare applications
New Features
Self-serve customization through Keyterm Prompting
Instantly adapt up to 100 domain-specific terms without model retraining
Enhanced capabilities for clinical environments
Improved handling of background noise typical in healthcare settings
Superior recognition of medication names, diagnostic terms, and procedure details
Accurate transcription even with far-field devices or ambient noise interference
Maintains exceptional accuracy in bustling clinics or hospitals with active medical equipment
Availability
Nova-3 English is now available through our API. To access:
Use model=nova-3-medical in your API calls
Available for hosted use
Supports both pre-recorded and real-time streaming transcription
Self-hosted deployments will be available in subsequent releases
For detailed information about Nova-3 Medical, please refer to our Developer Documentation.