@article{(Open Science Index):https://publications.waset.org/pdf/14337, title = {Comparative Study of Filter Characteristics as Statistical Vocal Correlates of Clinical Psychiatric State in Human}, author = {Thaweesak Yingthawornsuk and Chusak Thanawattano}, country = {}, institution = {}, abstract = {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.}, journal = {International Journal of Biomedical and Biological Engineering}, volume = {4}, number = {12}, year = {2010}, pages = {566 - 571}, ee = {https://publications.waset.org/pdf/14337}, url = {https://publications.waset.org/vol/48}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 48, 2010}, }