SummaryShort summary of a recent publication, written by scientific experts.
Published: 10 Apr 2023
Automated speech analysis demonstrates utility in Huntington’s disease
A study of 69 people with Huntington’s disease (HD; 44 premanifest and 25 manifest) and 25 matched healthy controls used quantitative automated acoustic analysis to evaluate patterns of speech alteration in 10 dimensions.
The automated analysis differentiated between people with and without HD, even in the early stages of the disease, with an accuracy of 74%, 92%, and 97% for the presymptomatic, prodromal, and manifest stages, respectively.
Speech abnormalities also correlated with motor and cognitive deficits, leading the researchers to conclude that automated speech analysis could represent a quantitative biomarker to assess HD progression.