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

arXiv 2412.15230 ↗First posted 5 Dec 2024cs.SD cs.CL eess.AScited by 6

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Abstract (arXiv)

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.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 2 of its 6 references that are in the map. First posted on arXiv 5 Dec 2024.

Builds on

2 of 6 references.

References · 2

  1. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
  2. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 3,972

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 3; 2026: 3.

6 papers.