Early Dementia Detection Using Multiple Spontaneous Speech Prompts: The PROCESS Challenge
Not on the map. Why?
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
- 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
- 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 3,972
Built on by
Citing papers per year: 2025: 3; 2026: 3.
6 papers.
- 2025Zero-Shot Cognitive Impairment Detection from Speech Using AudioLLMcited by 2
- 2026False positive bias in AI-powered speech-based cognitive screening for multilingual English speakers in the UKcited by 2
- 2026PROCESS-2: A Benchmark Speech Corpus for Early Cognitive Impairment Detectioncited by 2
- 2025Linguistic and Audio Embedding-Based Machine Learning for Alzheimer's Dementia and Mild Cognitive Impairment Detection: Insights from the PROCESS Challengecited by 1
- 2025Advancing Automated Spatio-Semantic Analysis in Picture Description Using Language Modelscited by 1
- 2026CCMAN: Cognitive Instability-Aware Cross-Modal Attention Network for Interpretable Temporal Biomarkers of Verbal Fluency Speechcited by 0
- 2026CCMAN: Cognitive Instability-Aware Cross-Modal Attention Network for Interpretable Temporal Biomarkers of Verbal Fluency Speech13 Sep 2026
- 2026PROCESS-2: A Benchmark Speech Corpus for Early Cognitive Impairment Detection14 May 2026
- 2026False positive bias in AI-powered speech-based cognitive screening for multilingual English speakers in the UK13 Feb 2026
- 2025Linguistic and Audio Embedding-Based Machine Learning for Alzheimer's Dementia and Mild Cognitive Impairment Detection: Insights from the PROCESS Challenge2 Oct 2025
- 2025Advancing Automated Spatio-Semantic Analysis in Picture Description Using Language Models30 Sep 2025
- 2025Zero-Shot Cognitive Impairment Detection from Speech Using AudioLLM20 Jun 2025