Fifth International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA 2007)
This paper describes a way to distinguish
high risk suicidal patients among depressed patients
using mel-frequency cepstrum coefficients.
Distinguishing high risk suicidal patients among
depressed patients is an important problem; a
practical solution to this would prevent the loss of
many lives. In this study, the vocal characteristics of
female and male patients' speech samples were
analyzed and a small subset of the first ten melfrequency
cepstrum coefficients were used to classify
high risk suicidal patients and depressed patients.
Cross validation was used to observe classification
performance. There were two different types of
speech samples from both male and female patients.
One of them was the speech sampled during a clinical
interview and the other was speech sampled during a
Index Terms. Speech, MFCC, suicide, depression, cross validation
Full Paper (reprinted with permission from Firenze University Press)
Bibliographic reference. Kaymaz Keskinpala, H. / Yingthawornsuk, T. / Wilkes, D. Mitchell / Shiavi, Richard G. / Salomon, R. M. (2007): "Distinguishing high risk suicidal subjects among depressed subjects using mel-frequency cepstrum coefficients and cross validation technique", In MAVEBA-2007, 157-160.