Corti Symphony: Medical Speech-to-Text That Beats OpenAI at Clinical Accuracy

Corti Symphony — What Is It?

Corti, a Copenhagen-based healthcare AI company, launched Symphony for Speech-to-Text — a clinical-grade speech recognition model designed specifically for medical dictation, conversational transcription, and batch audio processing. It achieves a 1.4% word error rate on English medical terminology.

Why Does This Beat Generalist Models?

General-purpose speech models like OpenAI's Whisper stumble over medical acronyms, complex medication dosages, and noisy emergency room environments. OpenAI's model hit 17.7% WER on medical terminology. Corti's domain-specific training reduces that error rate by over 93%, reaching 98.3% recall on clinical entities like dosages and measurements.

What's the Real-World Impact?

In healthcare AI, transcription accuracy isn't just about convenience — it's about patient safety. A model that mishears "hyperthyroidism" as "hypothyroidism" doesn't just create a typo; it creates a cascading error that affects every downstream AI system relying on that data. Symphony's accuracy makes it safe for clinical workflows.

Who Should Consider This?

Healthcare builders, medical device companies, EHR vendors, and anyone developing ambient AI documentation tools. The 54% gap in entity recall between Symphony and general-purpose models is the difference between a tool that saves time and one that creates liability.

Frequently Asked Questions

Q: How much better is Corti than OpenAI for medical terms? A: Corti achieves 1.4% WER vs OpenAI's 17.7% — a 93% reduction in errors on medical terminology.

Q: Is it available as an API? A: Yes, Symphony for Speech-to-Text is available as a production-grade API designed for clinical workflows.

Q: Does it work in noisy environments? A: Yes, it was engineered specifically for real-world clinical settings including emergency rooms with background noise.

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