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K. Gulzar and K. Riedhammer are with Zentrum für Künstliche Intelligenz (KIZ), Technische Hochschule Nürnberg, Nürnberg, Germany (email: kashaf.gulzar@th-nuernberg.de; korbinian.riedhammer@th-nuernberg.de).E. Nöth, A. K. Maier and P. A. Pérez-Toro are with Pattern Recognition Lab, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany (email: elmar.noeth@fau.de; andreas.maier@fau.de; paula.andrea.perez@fau.de).P. A. Pérez-Toro is with GITA Lab, University of Antioquia, Medellín, Colombia
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Wav2Vec 2.0, despite boosting accuracy in speech-based cognitive impairment detection, introduces significant gender and age biases, misclassifying females and younger individuals at a higher rate.
Finally, a large, clinically-validated German speech corpus is available to benchmark and advance speech-based Alzheimer's disease detection.