Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
Abstract: Paralinguistic properties of speech are essential in analyzing and choosing optimal treatment options for patients with speech disorders. However, automatic modeling of these characteristics ...
Abstract: Self-supervised speech models (S3Ms) have become a common tool for the speech processing community, leveraging representations for downstream tasks. Clustering S3M representations yields ...
Speech rate and word-finding difficulties, including pausing and use of fillers such as “um” and “uh,” were associated with changes in executive function across the adult lifespan in a new study. Jed ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback