Accuracy of Cloud-Based Speech Recognition Open Application Programming Interface for Medical Terms of Korean.

ABSTRACT:

Background

There are limited data on the accuracy of cloud-based speech recognition (SR) open application programming interfaces (APIs) for medical terminology. This study aimed to evaluate the medical term recognition accuracy of current available cloud-based SR open APIs in Korean.

Methods

We analyzed the SR accuracy of currently available cloud-based SR open APIs using real doctor-patient conversation recordings collected from an outpatient clinic at a large tertiary medical center in Korea. For each original and SR transcription, we analyzed the accuracy rate of each cloud-based SR open API (i.e., the number of medical terms in the SR transcription per number of medical terms in the original transcription).

Results

A total of 112 doctor-patient conversation record

SUBMITTER: Lee SH 

PROVIDER: S-EPMC9091429 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature