Early Dementia Detection Using Multiple Spontaneous Speech Prompts: The PROCESS Challenge

Fuxiang Tao; Bahman Mirheidari; Madhurananda Pahar; Sophie Young; Yao Xiao; Hend Elghazaly; Fritz Peters; Caitlin Illingworth; Dorota Braun; Ronan O'Malley; Simon Bell; Daniel Blackburn; Fasih Haider; Saturnino Luz; Heidi Christensen

arXiv · 2412.15230

Early Dementia Detection Using Multiple Spontaneous Speech Prompts: The PROCESS Challenge

Fuxiang Tao·Bahman Mirheidari·Madhurananda Pahar·Sophie Young·Yao Xiao·Hend Elghazaly·Fritz Peters·Caitlin Illingworth·Dorota Braun·Ronan O'Malley·Simon Bell·Daniel Blackburn·Fasih Haider·Saturnino Luz·Heidi Christensen

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Abstract

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.

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Fuxiang Tao, Bahman Mirheidari, Madhurananda Pahar, Sophie Young, Yao Xiao, Hend Elghazaly, Fritz Peters, Caitlin Illingworth, Dorota Braun, Ronan O'Malley, Simon Bell, Daniel Blackburn, Fasih Haider, Saturnino Luz, Heidi Christensen. 2024-12-05. Early Dementia Detection Using Multiple Spontaneous Speech Prompts: The PROCESS Challenge. https://arxiv.org/abs/2412.15230

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