Accuracy of Cloud-Based Speech Recognition Open Application Programming Interface for Medical Terms of Korean.
Seung-Hwa LeeJungchan ParkKwang-Mo YangJeongwon MinJinwook ChoiPublished in: Journal of Korean medical science (2022)
Among three current cloud-based SR open APIs, Naver Clova SR which manufactured by Korean company showed highest accuracy of medical terms in Korean, compared to Google Speech-to-Text and Amazon Transcribe. Although limitations are existing in the recognition of medical terminology, there is a lot of rooms for improvement of this promising technology by combining strengths of each SR engines.