A cross‐linguistic test of automated speech and language analysis for detecting Alzheimer’s disease: Machine learning evidence from English and Spanish speakers
Paula Andrea Perez‐Toro, Franco Javier Ferrante, Gonzalo Nicolás Pérez, Andrea Slachevsky, Elmar Nöth, Maria Schuster, Andreas Maier, Juan Rafael Orozco Arroyave, Adolfo M Garcia · 2025
Read A cross‐linguistic test of automated speech and language analysis for detecting Alzheimer’s disease: Machine learning evidence from English and Spanish speakers by Paula Andrea Perez‐Toro, Franco Javier Ferrante, Gonzalo Nicolás Pérez, Andrea Slachevsky, Elmar Nöth, Maria Schuster, Andreas Maier, Juan Rafael Orozco Arroyave, Adolfo M Garcia (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11716460.txt.
Description
Paula Andrea Perez-Toro and co-authors test whether speech analysis can spot Alzheimer disease in both English and Spanish speakers, in work from 2025. Speech based tools could scale worldwide for diagnosis and tracking. Most past work used English speakers and features that are hard to explain, which raised doubts about wider use.
Speakers described a set picture while being recorded. The study drew on an English group and a smaller Chilean Spanish group. Timing features from speech, tied to the effort of finding words in memory, were drawn from the recordings. Machine learning then sorted patients from controls. The cross language test checks fairness of the tool.
Catalog record
| CREATOR | Paula Andrea Perez‐Toro, Franco Javier Ferrante, Gonzalo Nicolás Pérez, Andrea Slachevsky, Elmar Nöth, Maria Schuster, Andreas Maier, Juan Rafael Orozco Arroyave, Adolfo M Garcia |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 3 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |