Automatic Assessment of Alzheimer's across Three Languages Using Speech and Language Features

Perez Toro PA, Arias Vergara T, Braun F, Hönig F, Tobón-Quintero CA, Aguillón D, Lopera F, Hincapié-Henao L, Schuster M, Riedhammer K, Maier A, Nöth E, Orozco Arroyave JR (2023)

Publication Type: Conference contribution

Publication year: 2023

Publisher: International Speech Communication Association

Book Volume: 2023-August

Pages Range: 1748-1752

Conference Proceedings Title: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Event location: Dublin, IRL

DOI: 10.21437/Interspeech.2023-2079

Abstract

With the increasing prevalence of Alzheimer's Disease (AD) worldwide, it is essential to develop non-invasive methods to monitor the progression of the disease. Speech and language analyses are suitable for detecting the cognitive impairment of AD patients; thus, by analyzing changes in speech patterns and language use, researchers can develop methods to monitor AD remotely. In this paper, we investigated several speech and language techniques commonly used for the automatic detection of AD. Furthermore, we considered speech recordings of 448 patients in three different languages: Spanish (57), German (205), and English (186). Cross-lingual analysis was carried out using two classification approaches: (1) training/testing in one or more languages and (2) training in one language and testing in another. We obtained unweighted average recall values of up to 83% to classify AD using the first classification approach and up to 70% with the second.

Authors with CRIS profile

Additional Organisation(s)

Involved external institutions

Ludwig-Maximilians-Universität (LMU) Germany (DE) KST Institut GmbH Germany (DE) Technische Hochschule Nürnberg "Georg Simon Ohm" Germany (DE) Universidad de Antioquía (UDEA) Colombia (CO)

How to cite

APA:

Perez Toro, P.A., Arias Vergara, T., Braun, F., Hönig, F., Tobón-Quintero, C.A., Aguillón, D.,... Orozco Arroyave, J.R. (2023). Automatic Assessment of Alzheimer's across Three Languages Using Speech and Language Features. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (pp. 1748-1752). Dublin, IRL, IE: International Speech Communication Association.

MLA:

Perez Toro, Paula Andrea, et al. "Automatic Assessment of Alzheimer's across Three Languages Using Speech and Language Features." Proceedings of the 24th International Speech Communication Association, Interspeech 2023, Dublin, IRL International Speech Communication Association, 2023. 1748-1752.

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