Depression automatic evaluation system and method based on phonetic features and machine learning

The present invention provides a kind of depression automatic evaluation system and method based on phonetic feature and machine learning, based on speech processes, feature extraction, machine learning techniques, contacting between phonetic feature and depression is found, objective reference frame is provided for the clinical diagnosis of depression.The system of the present invention includes (a) voice collecting recording module, for recording voice messaging of the subject under the stimulation of different mood language materials；(b) phonetic feature computing module, for calculating the acoustic feature of voice；(c) voice data library module, comprising for phonetic feature efficiency analysis, classifier training optimization, genealogical classification rate related data；(d) machine learning module, for determining the extracting mode of validity feature, and trains the grader for being used for assessing automatically；(e) automatic evaluation module, the validity feature extracting mode and the grader classification mode of training determined according to machine learning module, Degree of Depression classification is carried out by subject's efficient voice feature.