Early Dementia Detection Using Multiple Spontaneous Speech Prompts: The PROCESS Challenge
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arXiv
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| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866910755354312704 |
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| author | Tao, Fuxiang Mirheidari, Bahman Pahar, Madhurananda Young, Sophie Xiao, Yao Elghazaly, Hend Peters, Fritz Illingworth, Caitlin Braun, Dorota O'Malley, Ronan Bell, Simon Blackburn, Daniel Haider, Fasih Luz, Saturnino Christensen, Heidi |
| author_facet | Tao, Fuxiang Mirheidari, Bahman Pahar, Madhurananda Young, Sophie Xiao, Yao Elghazaly, Hend Peters, Fritz Illingworth, Caitlin Braun, Dorota O'Malley, Ronan Bell, Simon Blackburn, Daniel Haider, Fasih Luz, Saturnino Christensen, Heidi |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_15230 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Early Dementia Detection Using Multiple Spontaneous Speech Prompts: The PROCESS Challenge Tao, Fuxiang Mirheidari, Bahman Pahar, Madhurananda Young, Sophie Xiao, Yao Elghazaly, Hend Peters, Fritz Illingworth, Caitlin Braun, Dorota O'Malley, Ronan Bell, Simon Blackburn, Daniel Haider, Fasih Luz, Saturnino Christensen, Heidi Sound Computation and Language Audio and Speech Processing 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. |
| title | Early Dementia Detection Using Multiple Spontaneous Speech Prompts: The PROCESS Challenge |
| topic | Sound Computation and Language Audio and Speech Processing |
| url | https://arxiv.org/abs/2412.15230 |