AI & dataIn silico
Advances in automated speech transcription during cognitive testing
AAIC 2025 Abstract
Abstract
Background: Accurate automatic speech recognition (ASR) is essential for the objective analysis of speech during cognitive testing. Here, we describe the performance of seven individual ASR engines and selected consensus ASR (CASR) engine combinations when analyzing tokens generated by 453 randomly selected older subjects (mean age 60.
The paper
David L. Woods, Michael Blank, Kristin Geraci, Kathleen Hall
Show 6 more authors
Timothy J. Herron, Isabella Jaramillo, Andrew L Boghossian, David K Johnson, Evan L Richards, Peter Pebler,Neurobehavioral Systems
AAIC 2025 Abstract · 23 Dec 2025 · CC BY
Presented at AAIC 2025
