%0 Journal Article %A Thaweesak Yingthawornsuk and Chusak Thanawattano %D 2010 %J International Journal of Biomedical and Biological Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 48, 2010 %T Comparative Study of Filter Characteristics as Statistical Vocal Correlates of Clinical Psychiatric State in Human %U https://publications.waset.org/pdf/14337 %V 48 %X Acoustical properties of speech have been shown to be related to mental states of speaker with symptoms: depression and remission. This paper describes way to address the issue of distinguishing depressed patients from remitted subjects based on measureable acoustics change of their spoken sound. The vocal-tract related frequency characteristics of speech samples from female remitted and depressed patients were analyzed via speech processing techniques and consequently, evaluated statistically by cross-validation with Support Vector Machine. Our results comparatively show the classifier's performance with effectively correct separation of 93% determined from testing with the subjectbased feature model and 88% from the frame-based model based on the same speech samples collected from hospital visiting interview sessions between patients and psychiatrists. %P 566 - 571