Self-reported stuttering severity is accurate: informing methods for large scale data collection in stuttering

Self-reported ratings of stuttering have great potential utility for large-scale data collection, where cost and time preclude in-depth assessment by a clinician. Participants were able to accurately rate their stuttering severity during a speech assessment using a simple one-item question, alongside remotely collected speech samples. The study also found that home based data collection using device agnostic speech apps is helping clinical assessments in stuttering.

Remote and autonomous data collection of stuttering was provided by Redenlab’s online platform.

This study was conducted in collaboration with The University of Melbourne, Murdoch Children’s Research Institute, The Walter and Eliza Hall Institute of Medical Research, Max Planck Institute for Psycholinguistics, Florey Institute of Neuroscience and Mental Health, Erasmus University Medical Centre, Stuttering Treatment and Research Trust (START), QIMR Berghofer Medical Research Institute, and Menzies Health Institute Queensland, Griffith University.

To find out more about the study, click here.

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