@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},