Self-supervised Multimodal Speech Representations for the Assessment of Schizophrenia Symptoms

Published in ICASSP 2025, 2025

This paper is about the use of a self- supervised multi-modal approach involving audio, and video human speech to estimate the severity of Schizophrenia symptoms.

Recommended citation: G. Premananth and C. Espy-Wilson, "Self-supervised Multimodal Speech Representations for the Assessment of Schizophrenia Symptoms," ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India, 2025, pp. 1-5, doi: 10.1109/ICASSP49660.2025.10888608.
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