Development and validation of a self-administered computerized cognitive assessment based on automatic speech recognition.

ABSTRACT: Existing computerized cognitive tests (CCTs) lack speech recognition, which limits their assessment of language function. Therefore, we developed CogMo, a self-administered CCT that uses automatic speech recognition (ASR) to assess multi-domain cognitive functions, including language. This study investigated the validity and reliability of CogMo in discriminating cognitive impairments. CogMo automatically provides CCT results; however, manual scoring using recorded audio was performed to verify its ASR accuracy. The mini-mental state examination (MMSE) was used to assess cognitive functions. Pearson's correlation was used to analyze the relationship between the MMSE and CogMo results, intraclass correlation coefficient (ICC) was used to evaluate the test-retest reliability of CogMo, and re

SUBMITTER: Kong HH 

PROVIDER: S-EPMC11649080 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature