Nova-3 Medical Model
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
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Self-serve customization through Keyterm Prompting
- Instantly adapt up to 100 domain-specific terms without model retraining
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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-medicalin 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.
