Speech‐Based Detection of Alzheimer's Disease: Leveraging Spectral Contrast and Pitch Variability as Potential Diagnostic Markers
This preliminary study highlights the physiological basis of altered speech patterns in AD and their diagnostic relevance. Future work will focus on refining preprocessing algorithms and incorporating advanced feature extraction methods to enhance the effect sizes and correlation for AD detection and cognitive assessment.
Authors
- Shekhar Kumar (ORCID: https://orcid.org/0000-0003-0022-6555)
- Hamed Azami (ORCID: https://orcid.org/0000-0001-7612-0840)
- Saturnino Luz
Institutions
- Centre for Addiction and Mental Health (CA)
- University of Toronto (CA)
- Toronto Dementia Research Alliance (CA)
- The Queen's Medical Research Institute (GB)
- University of Edinburgh (GB)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70856_106182
- Primary Topic
- Voice and Speech Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00