Identification of individuals with COPD using biometric voice and cough sound features
Voice analysis may offer a non-invasive screening approach for COPD. However, this study was limited to male participants and a single disease target, restricting generalizability. Future research will expand to include related respiratory conditions such as bronchiectasis and assess performance across sexes and disease types.
Authors
- Chizu Fukushima
- Jun Iriki
- Yasushi Obase (ORCID: https://orcid.org/0000-0001-8838-7403)
- Takahiro Takazono (ORCID: https://orcid.org/0000-0002-0696-5386)
- Hideaki Watanabe (ORCID: https://orcid.org/0000-0002-9367-5167)
- Shinnosuke Takemoto (ORCID: https://orcid.org/0000-0003-0373-0618)
- Takeo NISHINO (ORCID: https://orcid.org/0009-0004-3635-609X)
- Noriho Sakamoto (ORCID: https://orcid.org/0000-0002-7577-476X)
- Kensuke Hirano
- Yusei Tsukamoto
- Y Hamanaka
- Hiroshi Mukae (ORCID: https://orcid.org/0000-0002-1429-5706)
- Susumu Fukahori (ORCID: https://orcid.org/0000-0003-2709-8880)
Institutions
- Sony Computer Science Laboratories (JP)
- Nagasaki University Hospital (JP)
- Nagasaki University (JP)
Publication Details
- Journal
- Respiratory Investigation
- Published
- 2025-12-12
- DOI
- https://doi.org/10.1016/j.resinv.2025.101353
- Primary Topic
- Respiratory and Cough-Related Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00