Speech analytics across the schizophrenia spectrum disorders: multimodal natural language processing and machine learning modelling in a Chinese-speaking population

By multidimensionally quantifying these speech characteristics and integrating machine learning, this study aims to screen highly discriminative speech feature combinations specific to SSD, thereby providing technical and theoretical support for the precise diagnosis and personalized intervention of SSD. These findings will deepen psychiatrists' understanding of the linguistic pathological mechanisms underlying SSD and promote the development of diagnostic tools and intervention protocols based on novel biomarkers.