Self-supervised Multimodal Speech Representations for the Assessment of Schizophrenia Symptoms
Published in Accepted for presentation at ICASSP 2025, 2024
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’, arXiv preprint arXiv:2409. 09733, 2024.
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