title: Investigation of vocal jitter and glottal flow spectrum as possible cues for depression and near-term suicidal risk.
abstract: Among the many clinical decisions that psychiatrists must make, assessment of a patient's risk of committing suicide is definitely among the most important, complex, and demanding. When reviewing his clinical experience, one of the authors observed that successful predictions of suicidality were often based on the patient's voice independent of content. The voices of suicidal patients judged to be high-risk near-term exhibited unique qualities, which distinguished them from nonsuicidal patients. We investigated the discriminating power of two excitation-based speech parameters, vocal jitter and glottal flow spectrum, for distinguishing among high-risk near-term suicidal, major depressed, and nonsuicidal patients. Our sample consisted of ten high-risk near-term suicidal patients, ten major depressed patients, and ten nondepressed control subjects. As a result of two sample statistical analyses, mean vocal jitter was found to be a significant discriminator only between suicidal and nondepressed control groups (p < 0.05). The slope of the glottal flow spectrum, on the other hand, was a significant discriminator between all three groups (p < 0.05). A maximum likelihood classifier, developed by combining the a posteriori probabilities of these two features, yielded correct classification scores of 85% between near-term suicidal patients and nondepressed controls, 90% between depressed patients and nondepressed controls, and 75% between near-term suicidal patients and depressed patients. These preliminary classification results support the hypothesized link between phonation and near-term suicidal risk. However, validation of the proposed measures on a larger sample size is necessary.
authors.affiliation: Vanderbilt University, Department of Biomedical Informatics, Nashville, TN 87215 USA. asli.ozdas@vanderbilt.edu
authors.forename: Asli
authors.initials: A
authors.lastname: Ozdas
authors.forename: Richard G
authors.initials: RG
authors.lastname: Shiavi
authors.forename: Stephen E
authors.initials: SE
authors.lastname: Silverman
authors.forename: Marilyn K
authors.initials: MK
authors.lastname: Silverman
authors.forename: D Mitchell
authors.initials: DM
authors.lastname: Wilkes
mesh_terms: D000465:Algorithms; D003865:Major Depressive Disorder / Q000145:classification / Q000150:complications / Q000175:diagnosis*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005931:Glottis / Q000503:physiopathology; D006801:Humans; D008297:Male; D015203:Reproducibility of Results; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors; D012680:Sensitivity and Specificity; D013018:Sound Spectrography / Q000379:methods*; D013405:Suicide / Q000145:classification*; D014832:Voice Disorders / Q000150:complications / Q000175:diagnosis*; D014833:Voice Quality; D000092864:Suicide Prevention