Evaluation of voice acoustics as predictors of clinical depression scores

• Main Authors: Nik Hashim, Nik Nur Wahidah, Wilkes, Mitch D., Salomon, Ronald M., Meggs, Jared, France, Daniel J.
• Format: Article
• Language: English; English
• Published: Mosby Inc. 2016
• Subjects: R Medicine (General); T Technology (General)
• Online Access: http://irep.iium.edu.my/61221/7/61121_Evaluation%20of%20Voice%20Acoustics%20as%20Predictors_article.pdf; http://irep.iium.edu.my/61221/8/61121_Evaluation%20of%20Voice%20Acoustics%20as%20Predictors_scopus.pdf; http://irep.iium.edu.my/61221/; https://ac.els-cdn.com/S0892199716301059/1-s2.0-S0892199716301059-main.pdf?_tid=ea64d55c-01a7-11e8-b019-00000aacb35f&acdnat=1516868314_080c952921342794cdc56fc52511c94b

Summary: Objective. The aim of the present study was to determine if acoustic measures of voice, characterizing specific spectral and timing properties, predict clinical ratings of depression severity measured in a sample of patients using the Hamilton Depression Rating Scale (HAMD) and Beck Depressi...