Perez Toro PA, Arias Vergara T, Klumpp P, Weise T, Schuster M, Nöth E, Orozco Arroyave JR, Maier A (2024)
Publication Type: Conference contribution
Publication year: 2024
Publisher: International Speech Communication Association
Pages Range: 982-986
Conference Proceedings Title: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
DOI: 10.21437/Interspeech.2024-2115
Cognitive decline, a hallmark of several neurological conditions, including dementia and Alzheimer's disease, often manifests in noticeable changes in speech patterns and language use. Speech analysis in this context can serve as a valuable tool for early detection and monitoring of cognitive impairment. In this paper, we present the results of our attempts at the TAUKADIAL Challenge for automatically detecting people with mild cognitive impairment and predicting a cognitive score on English and Chinese speakers. In the classification task, we achieved a UAR of 83% using two language-dependent classifiers trained with timing and acoustic features. In the regression task, we obtained an RMSE of 1.87 using English speakers to train the base model with timing, acoustic, and language-dependent features.
APA:
Perez Toro, P.A., Arias Vergara, T., Klumpp, P., Weise, T., Schuster, M., Nöth, E.,... Maier, A. (2024). Multilingual Speech and Language Analysis for the Assessment of Mild Cognitive Impairment: Outcomes from the Taukadial Challenge. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (pp. 982-986). Kos Island, GR: International Speech Communication Association.
MLA:
Perez Toro, Paula Andrea, et al. "Multilingual Speech and Language Analysis for the Assessment of Mild Cognitive Impairment: Outcomes from the Taukadial Challenge." Proceedings of the 25th Interspeech Conferece 2024, Kos Island International Speech Communication Association, 2024. 982-986.
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