As the world responds to the ongoing pandemic, it’s more important than ever to accurately access, consume, and analyze information related to COVID-19. Topics about the healthcare crisis permeate many dimensions of our personal and professional lives, through channels as diverse as news reporting, social media, business meetings, radio and podcasts, customer support calls, and especially among clinician-patient conversations. More data analytics application builders are seeking medical speech-recognition capabilities that help them efficiently and accurately transcribe video and audio containing COVID-19 terminology into text for downstream analytics. This post demonstrates how to use a custom vocabulary in Amazon Transcribe Medical to better recognize COVID-19 terms.
Amazon Transcribe Medical is a fully-managed speech recognition (ASR) service that makes it easy to add medical speech-to-text capabilities to your applications. Powered by deep learning, the service already offers a ready-to-use medical speech-recognition model that you can integrate into a variety of voice applications

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