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Amazon Transcribe Medical Enhances Speech-to-Text Accuracy of COVID-19-Related Terms

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May 20, 2020

Amazon Web Services (AWS) is now helping accurately assess, consume and analyze information related to COVID-19 by enhancing speech-to-text accuracy of COVID-19-related terms with Amazon Transcribe Medical, a machine learning service that makes it easy to quickly create accurate transcriptions from medical consultations between patients and physicians.

These medical speech-recognition capabilities can now help efficiently and accurately transcribe video and audio containing COVID-19 terminology into text, allowing physicians to better focus on their patient and provide a more attentive experience instead of interrupting the conversation for note taking.

Amazon Transcribe Medical Background

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 in the healthcare and life science domain. Users can now use the custom vocabulary feature to accurately transcribe more specific medical terminologies, such as medicine names, product brands, medical procedures, or illnesses. In addition, users can input the terminology they would like to transcribe and associate each term with a corresponding pronunciation and display form. Custom vocabulary is available in all AWS Regions where Amazon Transcribe Medical is available.

Availability

Amazon Transcribe Medical is available in all AWS Regions as both batch (asynchronous) and streaming (synchronous) public APIs. The service offers state-of-the-art medical transcription for both dictation and conversation dynamics, with support for US English in primary care (spanning Internal Medicine, Family Medicine, Pediatrics, and OB-GYN).

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Source: HIT Consultant

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