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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| Veröffentlicht in: | IEEE transactions on biomedical engineering Jg. 47; H. 7; S. 829 - 837 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
New York, NY
IEEE
01.07.2000
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 0018-9294, 1558-2531 |
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| Abstract | 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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| AbstractList | 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(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 (0) were generally ineffective discriminators in both studies. The results support theories that identify psychomotor disturbances as central elements in depression and suicidality 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. 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 (Fo), 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 Fo were generally ineffective discriminators in both studies. The results support theories that identify psychomotor disturbances as central elements in depression and suicidality. 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. 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(o)), 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 format 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(o) were generally ineffective discriminators in both studies. The results support theories that identify psychomotor disturbances as central elements in depression and suicidality. 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 (Fo), 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 Fo were generally ineffective discriminators in both studies. The results support theories that identify psychomotor disturbances as central elements in depression and suicidality.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 (Fo), 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 Fo were generally ineffective discriminators in both studies. The results support theories that identify psychomotor disturbances as central elements in depression and suicidality. |
| Author | Silverman, M. Shiavi, R.G. France, D.J. Wilkes, M. Silverman, S. |
| Author_xml | – sequence: 1 givenname: D.J. surname: France fullname: France, D.J. organization: L-3 Commun., Salt Lake City, UT, USA – sequence: 2 givenname: R.G. surname: Shiavi fullname: Shiavi, R.G. – sequence: 3 givenname: S. surname: Silverman fullname: Silverman, S. – sequence: 4 givenname: M. surname: Silverman fullname: Silverman, M. – sequence: 5 givenname: M. surname: Wilkes fullname: Wilkes, M. |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=1404894$$DView record in Pascal Francis https://www.ncbi.nlm.nih.gov/pubmed/10916253$$D View this record in MEDLINE/PubMed |
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| Keywords | Human Mood disorder Speech analysis Parameter estimation Acoustic properties Depressions Prediction Diagnosis Multivariate analysis Risk analysis Suicide |
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| PublicationTitle | IEEE transactions on biomedical engineering |
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| References | ref13 ref37 ref15 ref36 ref14 whitman (ref46) 1966; 17 ref31 bannister (ref1) 1972 ref30 ref33 rabiner (ref32) 1978 ref11 ref10 juang (ref16) 1979 ref2 ref17 ref38 ref19 ref18 hargreaves (ref12) 1965; 7 blumenthal (ref3) 1990 darby (ref7) 1979 laver (ref20) 1980 roessler (ref34) 1979 silverman (ref40) 1992 saxman (ref35) 1968; 11 ref24 ref45 ref23 ref26 ref25 ostwald (ref28) 1963 ref42 denber (ref9) 1978 ref22 ref44 ref21 ref43 ref27 ref29 ref8 ref4 ref6 ref5 sobin (ref41) 1997; 154 silverman (ref39) 0 |
| References_xml | – year: 1990 ident: ref3 publication-title: Suicide Over the Life Cycle Risk Factors Assessment and Treatment of Suicidal Patients – start-page: 38 year: 1978 ident: ref32 publication-title: Digital Processing of Speech Signals – year: 1978 ident: ref9 publication-title: Sound spectrum analysis of the mentally ill – ident: ref5 doi: 10.1016/0165-0327(96)00023-7 – year: 1980 ident: ref20 publication-title: The Phonetic Description of Voice Quality – ident: ref10 doi: 10.1007/BF01067922 – ident: ref37 doi: 10.1037//0033-2909.99.2.143 – ident: ref29 doi: 10.1121/1.1916199 – ident: ref45 doi: 10.1159/000262703 – year: 0 ident: ref39 publication-title: From Sound to Silence-A Preliminary Investigation of the Use of Vocal Parameters in the Prediction of Near-Term Suicidal Risk – volume: 11 start-page: 194 year: 1968 ident: ref35 article-title: speaking f0 and rate characteristics of adult female schizophrenics publication-title: J Speech Hearing Res doi: 10.1044/jshr.1101.194 – ident: ref8 doi: 10.1016/0021-9924(84)90013-3 – ident: ref25 doi: 10.1016/S0165-0327(96)01404-8 – ident: ref23 doi: 10.1111/j.1600-0447.1987.tb02891.x – volume: 154 start-page: 4 year: 1997 ident: ref41 article-title: psychomotor symptoms of depression publication-title: Amer J Psych doi: 10.1176/ajp.154.1.4 – ident: ref17 doi: 10.1192/bjp.125.2.186 – ident: ref13 doi: 10.1037//0022-006X.61.3.441 – ident: ref24 doi: 10.1121/1.396114 – ident: ref27 doi: 10.1001/archpsyc.1961.01710180071008 – year: 1979 ident: ref7 article-title: unpublished pilot study – year: 1992 ident: ref40 publication-title: Vocal parameters as predictors of near-term suicidal risk – ident: ref19 doi: 10.1016/0022-3956(93)90040-9 – ident: ref18 doi: 10.1001/jama.235.24.2600 – ident: ref2 doi: 10.1097/00001888-198309000-00006 – ident: ref22 doi: 10.1016/0163-8343(89)90042-X – ident: ref42 doi: 10.1159/000284547 – year: 1963 ident: ref28 publication-title: Soundmaking The Acousical Communication of Emotion – ident: ref43 doi: 10.1159/000284700 – ident: ref30 doi: 10.1001/archpsyc.1983.01790030019002 – ident: ref4 doi: 10.1080/00221309.1992.9921178 – ident: ref38 doi: 10.1159/000288082 – ident: ref44 doi: 10.1016/0021-9924(82)90034-X – year: 1979 ident: ref16 article-title: cepstrally based pitch and voicing estimation with statistical assistance homomorphic pitch detector publication-title: NSC Note no 140 – ident: ref36 doi: 10.1007/978-1-4613-2892-6_18 – ident: ref15 doi: 10.1056/NEJM198304143081510 – ident: ref11 doi: 10.1016/0165-0327(79)90024-7 – volume: 17 start-page: 167 year: 1966 ident: ref46 publication-title: A potential new measurement of emotional state A preliminary report – ident: ref14 doi: 10.1001/archpsyc.1992.01820100018004 – ident: ref21 doi: 10.1017/S0033291700041349 – year: 1979 ident: ref34 article-title: vocal patterns in anxieety publication-title: Phenomenology and Treatment of Anxiety – ident: ref31 doi: 10.1001/archpsyc.1987.01800140081012 – ident: ref6 doi: 10.1159/000264098 – ident: ref33 doi: 10.1001/archpsyc.1969.01740170070010 – year: 1972 ident: ref1 publication-title: An instrumental and judgmental analysis of voice samples from psychiatrically hospitalized and nonhospitalized adolescents – volume: 7 start-page: 218 year: 1965 ident: ref12 article-title: voice quality changes in depression publication-title: Language Speech – ident: ref26 doi: 10.1121/1.1910339 |
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| Snippet | Acoustic properties of speech have previously been identified as possible cues to depression, and there is evidence that certain vocal parameters may be used... Acoustic analyses of voice fundamental frequency (F/sub 0/), amplitude modulation (AM), formants, and power distribution were performed on speech samples... |
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| SubjectTerms | 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 |
| Title | Acoustical properties of speech as indicators of depression and suicidal risk |
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