Shunyalabs’ Zero STT Med Beats Whisper and AWS in Medical Speech Accuracy
PositiveArtificial Intelligence

Shunyalabs has made a significant breakthrough in medical speech recognition with its Zero STT Med, achieving a word error rate of just 11.1% and a character error rate of 5.1%. This performance surpasses that of established systems like Whisper and AWS Transcribe, marking a notable advancement in the accuracy of automated speech recognition in healthcare. This is important as it can lead to better patient documentation and improved efficiency in medical settings.
— Curated by the World Pulse Now AI Editorial System








