Dementia is associated with various cognitive impairments and typically manifests only after significant progression, making intervention at this stage often ineffective. To address this issue, the Prediction and Recognition of Cognitive Decline through Spontaneous Speech (PROCESS) Signal Processing Grand Challenge invites participants to focus on early-stage dementia detection. We provide a new spontaneous speech corpus for this challenge. This corpus includes answers from three prompts designed by neurologists to better capture the cognition of speakers. Our baseline models achieved an F1-score of 55.0% on the classification task and an RMSE of 2.98 on the regression task.
@article{arxiv.2412.15230,
title = {Early Dementia Detection Using Multiple Spontaneous Speech Prompts: The PROCESS Challenge},
author = {Fuxiang Tao and Bahman Mirheidari and Madhurananda Pahar and Sophie Young and Yao Xiao and Hend Elghazaly and Fritz Peters and Caitlin Illingworth and Dorota Braun and Ronan O'Malley and Simon Bell and Daniel Blackburn and Fasih Haider and Saturnino Luz and Heidi Christensen},
journal= {arXiv preprint arXiv:2412.15230},
year = {2024}
}