Improved automatic speech-based cognitive assessment using neuropsychologically calibrated diagnostic labels

Although automatic detection of cognitive impairment from conversational speech is a promising way, it becomes less accurate, as large real-world datasets often contain unreliable diagnostic labels due to self-referral and limited clinical verification, and here we investigated whether neuropsycholo