Temporal features highlight cognitive subtypes in Mild Cognitive Impairment and differentiate between memory and executive function issues. These features show diagnostic promise in machine learning contexts.
The study evaluated the accuracy of automatic speech recognition (ASR) software against manual scores in memory clinic assessments. The ASR showed high agreement with manual scores, and the phone-based tests effectively differentiated between subjective cognitive decline (SCD) and mild cognitive impairment (MCI).
Schäfer, S., Mallick, E., Schwed, L., König, A., Zhao, J., Linz, N., Bodin, T. H., Skoog, J., Possemis, N., ter Huurne, D., Zettergren, A., Kern,
ter Huurne, D., Ramakers, I., Possemis, N., Banning, L., Gruters, A., Van Asbroeck, S., König, A., Linz, N., Tröger, J., Langel, K., Verhey, F., &
Skoog, J., Mallick, E., Bodin, T. H., Mina, M., Linz, N., Tröger, J., & Skoog, I. (2022). Screening for MCI in the Swedish H70 Birth
Tröger, J., Baykara, E., Zhao, J., Huurne, D. ter, Possemis, N., Mallick, E., Schäfer, S., Schwed, L., Mina, M., Linz, N., Ramakers, I., & Ritchie,
Lindsay, H., Tröger, J., Mina, M., Linz, N., Müller, P., Alexandersson, J., & Ramakers, I. (2022). Generating Synthetic Clinical Speech Data through Simulated ASR Deletion
König, A., Ramakers, I. H. G. B., Linz, N., Zeghari, R., & Robert, P. (2021). Automated speech analysis for detection of cognitive and emotional changes.
Lindsay, H., Müller, P., Kröger, I., Tröger, J., Linz, N., König, A., Zeghari, R., Verhey, F., & Ramakers, I. (2021). Multilingual Learning for Mild Cognitive
König, A., Zeghari, R., Guerchouche, R., Tran, M. D., Bremond, F., Linz, N., Lindsay, H., Langel, K., Ramakers, I., Lemoine, P., Bultingaire, V., & Robert,