Early stroke diagnosis and evaluation based on pathological voice classification using speech enhancement
The proposed ESD method combining SE with SVs and SS can serve as an assistive diagnostic tool to help medical professionals and individuals detect and prevent strokes at an earlier stage, reduce workload, and improve identification objectivity. The code and experimental protocol of this paper are available at https://github.com/LiuYingchenseu/ESPVC.
Authors
- Yong Han Liu (ORCID: https://orcid.org/0009-0003-4722-4829)
- Xi Yang (ORCID: https://orcid.org/0000-0002-5791-3674)
- Jiayue Yang (ORCID: https://orcid.org/0000-0003-1825-8555)
- Aiguo Song (ORCID: https://orcid.org/0000-0002-1982-6780)
- Yiyi Qiu
- Ming Ma (ORCID: https://orcid.org/0000-0002-2666-6295)
- Xiao Yi (ORCID: https://orcid.org/0000-0001-5120-2874)
- Jun Zhang (ORCID: https://orcid.org/0000-0002-3074-2465)
Institutions
- Southeast University (BD)
- Zhongda Hospital Southeast University (CN)
- Southeast University (CN)
Publication Details
- Journal
- Computers in Biology and Medicine
- Published
- 2025-08-18
- DOI
- https://doi.org/10.1016/j.compbiomed.2025.110940
- Citations
- 1
- Primary Topic
- Voice and Speech Disorders
- Type
- article
- Field-Weighted Citation Impact
- 1.16
Funders
- National Natural Science Foundation of China