Patent ID: 9691411
Date: 2017-06-27
CPC Classifications: G10L

Claim:
1. A computer-implemented method for assessing suicide risk in a human subject, the method comprising the steps of: receiving voice data of the subject; and classifying the subject as suicidal or non-suicidal based upon a computerized analysis of one or more nonverbal characteristics of the voice data performed on a support vector machine (SVM) that utilizing hidden Markov models (HMMs), the nonverbal characteristics of the voice data including prosodic and voice quality-related features of the voice data selected from one or more of an acoustic measure of energy in dB (en, en the prosodic and voice quality features including an acoustic measure of Liljencrants-Fant (LF) model parameters from time domain estimation methods, including three time-based parameters (R the classifying including classifying the subject as being suicidal based upon the voice data exhibiting the characteristics of a breathy phonation type.