Speech signal acoustic analysis in the diagnosis of neurological and mental diseases: a systematic review and meta-analysis

OBJECTIVE: To assess speech signal acoustic parameters for the diagnosis of neurological and mental diseases. MATERIAL AND METHODS: The data were searched in accordance with the PRISMA requirements and guidelines across the PubMed, Google Scholar, ClinicalTrials.gov, CyberLenink, and eLibrary databases. Seven publications were selected for the final analysis of full-text articles. These papers evaluated the parameters of the speech signal in patients with Parkinson's disease, Alzheimer's disease, and primary depression. The meta-analysis examined Jitter and Shimmer in patients' speech signals compared with those of healthy volunteers. RESULTS: =0.178). CONCLUSION: This systematic review and meta-analysis of studies have shown the potential of acoustic analysis of the speech signal for diagnosing neurological and mental diseases. Jitter is a reliable diagnostic criterion for the presence and progression of neurological and mental diseases.