| Challenge: | Following chronic sleep disorders involves multiple appointments between doctors and patients which often results in episodic follow-ups with unevenly spaced interviews. |
| Approach: | They propose to use a large database to assess the sleepiness level of highly phenotyped patients that complain from excessive daytime sleepiness instead of healthy subjects. |
| Outcome: | The proposed model is based on recordings from patients suffering from excessive daytime sleepiness instead of healthy subjects and incites them to sleep contrary to existing stressing sleepiness deprivation paradigms. |
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Amey Hengle, Atharva Kulkarni, Shantanu Patankar, Madhumitha Chandrasekaran, Sneha D’silva, Jemima Jacob, Rashmi Gupta
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How to Compare Automatically Two Phonological Strings: Application to Intelligibility Measurement in the Case of Atypical Speech (2020.lrec-1)
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| Challenge: | Atypical speech productions must be evaluated with regard to "typical" or "expected" productions . a first test of this method among healthy speakers and patients treated for cancer has proved its validity . |
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Comprehensive Benchmarking of Long-Form Speech Generation in Diverse Scenarios (2026.findings-acl)
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Changhao Pan, Rui Yang, Han Wang, Zhuan Zhou, Xuming He, Wenxiang Guo, Ziyue Jiang, Ruiqi Li, Yu Zhang, Chenyuhao Wen, Ke Lei, Xiang Yin, Jingyu Lu, Zhiyuan Zhu, Zhou Zhao
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Dash-M5H: An Interactive Dashboard for Multi-Modal, Multi-Model Mental Health Assessment (2026.acl-demo)
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SMHD: a Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions (C18-1)
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| Challenge: | Existing methods to label mental health conditions are based on high-precision diagnosis patterns and carefully selected control users. |
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Interpretable Assessment of Speech Intelligibility Using Deep Learning: A Case Study on Speech Disorders Due to Head and Neck Cancers (2024.lrec-main)
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Sondes Abderrazek, Corinne Fredouille, Alain Ghio, Muriel Lalain, Christine Meunier, Mathieu Balaguer, Virginie Woisard
| Challenge: | Using deep learning, speech disorders can be evaluated by perceptual measures, but they are subject to subjectivity and lack of reproducibility. |
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