Corti Launches Symphony for Speech-to-Text
Healthcare artificial intelligence company Corti has aunched Symphony for Speech-to-Text, a new generation of clinical-grade speech-to-text models for real-time dictation, conversational transcription, and batch audio file processing.
In Corti's own testing, the technology achieved the following results:
- Up to 93 percent lower word error rate vs. leading speech models tested on English, German, and French medical terminology, achieving 1.4 percent word error rate in English.
- Clinically usable formatting, reaching 98.3 percent recall on formatted entities such as dosages, measurements, and dates.
- 4.6 percent WER on real-world English medical dictation.
- Consistent multilingual gains, with 2.4 percent WER in German and 3.9 percent WER in French.
"Speech has always been one of healthcare's most important inputs," said Andreas Cleve, co-founder and CEO of Corti, in a statement. "What is changing is what happens after the words are captured. In the agentic era, speech recognition requires more than simply producing a transcript. We need to give AI systems accurate clinical facts to reason from. If a model mishears a medication, dosage, or symptom, every downstream step becomes less reliable. Symphony for Speech-to-Text gives healthcare builders a speech layer accurate enough to thrive in clinical reality."
Early adopters are already building on Symphony for Speech-to-Text in some of the most linguistically demanding clinical environments.
"In a clinical conversation, every word matters. A missed medication name, a misheard dosage, or a mistranscribed symptom can change the meaning of an encounter. Symphony's accuracy on clinical terminology gives us the foundation to bring more trusted AI capabilities into clinical workflows with our Voicepoint Xenon platform," said Pierre Corboz, head of solutions and business development at Voicepoint, in a statement. "When Corti improves the speech layer, the workflows we build together become sharper, safer, and more useful for clinicians in Switzerland."