Acoustical properties of speech as indicators of depression and suicidal risk

Acoustic properties of speech have previously been identified as possible cues to depression, and there is evidence that certain vocal parameters may be used further to objectively discriminate between depressed and suicidal speech. Studies were performed to analyze and compare the speech acoustics...

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Vydáno v:IEEE transactions on biomedical engineering Ročník 47; číslo 7; s. 829 - 837
Hlavní autoři: France, D.J., Shiavi, R.G., Silverman, S., Silverman, M., Wilkes, M.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York, NY IEEE 01.07.2000
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Acoustic properties
Acoustic variables measurement
Acoustics
Adult
Adult and adolescent clinical studies
Amplitude modulation
Biocommunications
Biological and medical sciences
Biomedical Engineering
Biomedical monitoring
Brain
Case-Control Studies
Depression
Depression - psychology
Female
Frequencies
Frequency
Humans
Male
Medical sciences
Middle Aged
Mood disorders
Patient monitoring
Performance analysis
Power distribution
Psychiatry
Psychology
Psychology. Psychoanalysis. Psychiatry
Psychopathology. Psychiatry
Risk Factors
Sensory perception
Speech Acoustics
Speech analysis
Suicide - prevention & control
Suicide - psychology
Variational techniques
Human
Mood disorder
Speech analysis
Parameter estimation
Acoustic properties
Depressions
Prediction
Diagnosis
Multivariate analysis
Risk analysis
Suicide
ISSN:0018-9294, 1558-2531
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Shrnutí:Acoustic properties of speech have previously been identified as possible cues to depression, and there is evidence that certain vocal parameters may be used further to objectively discriminate between depressed and suicidal speech. Studies were performed to analyze and compare the speech acoustics of separate male and female samples comprised of normal individuals and individuals carrying diagnoses of depression and high-risk, near-term suicidality. The female sample consisted of ten control subjects, 17 dysthymic patients, and 21 major depressed patients. The male sample contained 24 control subjects, 21 major depressed patients, and 22 high-risk suicidal patients. Acoustic analyses of voice fundamental frequency (F/sub 0/), amplitude modulation (AM), formants, and power distribution were performed on speech samples extracted from audio recordings collected from the sample members. Multivariate feature and discriminant analyses were performed on feature vectors representing the members of the control and disordered classes. Features derived from the formant and power spectral density measurements were found to be the best discriminators of class membership in both the male and female studies. AM features emerged as strong class discriminators of the male classes. Features describing F/sub 0/ were generally ineffective discriminators in both studies. The results support theories that identify psychomotor disturbances as central elements in depression and suicidality.
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ISSN:0018-9294
1558-2531
DOI:10.1109/10.846676