SAND: The Challenge on Speech Analysis for Neurodegenerative Disease Assessment
Recent advances in Artificial Intelligence (AI) and the exploration of noninvasive, objective biomarkers, such as speech signals, have encouraged the development of algorithms to support the early diagnosis of neurodegenerative diseases, including Amyotrophic Lateral Sclerosis (ALS). Voice changes in subjects suffering from ALS typically manifest as progressive dysarthria, which is a prominent neurodegenerative symptom because it affects patients as the disease progresses. Since voice signals are complex data, the development and use of advanced AI techniques are fundamental to extracting distinctive patterns from them. Validating AI algorithms for ALS diagnosis and monitoring using voice...
| Authors | Giovanna Sannino, Ivanoe De Falco, Nadia Brancati et al. |
|---|---|
| Primary category | eess.AS |
| Published | 7 April 2026 |
| Last updated at source | 12 May 2026 |
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