Correlating natural language processing and automated speech analysis with clinician assessment to quantify speech-language changes in mild cognitive impairment …
Background Language impairment is an important marker of neurodegenerative disorders.
Despite this, there is no universal system of terminology used to describe these impairments
and large inter-rater variability can exist between clinicians assessing language. The use of
natural language processing (NLP) and automated speech analysis (ASA) is emerging as a
novel and potentially more objective method to assess language in individuals with mild
cognitive impairment (MCI) and Alzheimer's dementia (AD). No studies have analyzed how …
Despite this, there is no universal system of terminology used to describe these impairments
and large inter-rater variability can exist between clinicians assessing language. The use of
natural language processing (NLP) and automated speech analysis (ASA) is emerging as a
novel and potentially more objective method to assess language in individuals with mild
cognitive impairment (MCI) and Alzheimer's dementia (AD). No studies have analyzed how …
[引用][C] Correlating Natural Language Processing and Automated Speech Analysis with Clinician Assessment to Quantify Speech-Language changes in mild cognitive …
A Yeung, A Iaboni, E Rochon, M Lavoie, C Santiago… - … . org/10.1186/s13195-021-00848-x
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