Literature DB >> 10916253

Acoustical properties of speech as indicators of depression and suicidal risk.

D J France1, R G Shiavi, S Silverman, M Silverman, D M Wilkes.   

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 (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.

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Year:  2000        PMID: 10916253     DOI: 10.1109/10.846676

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  36 in total

1.  Detection of clinical depression in adolescents' speech during family interactions.

Authors:  Lu-Shih Alex Low; Namunu C Maddage; Margaret Lech; Lisa B Sheeber; Nicholas B Allen
Journal:  IEEE Trans Biomed Eng       Date:  2010-11-11       Impact factor: 4.538

2.  Cry presence and amplitude do not reflect cortical processing of painful stimuli in newborns with distinct responses to touch or cold.

Authors:  Nathalie L Maitre; Ann R Stark; Carrie C McCoy Menser; Olena D Chorna; Daniel J France; Alexandra F Key; Ken Wilkens; Melissa Moore-Clingenpeel; Don M Wilkes; Stephen Bruehl
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2017-05-12       Impact factor: 5.747

3.  Dyadic Behavior Analysis in Depression Severity Assessment Interviews.

Authors:  Stefan Scherer; Zakia Hammal; Ying Yang; Louis-Philippe Morency; Jeffrey F Cohn
Journal:  Proc ACM Int Conf Multimodal Interact       Date:  2014-11

4.  Dynamic Multimodal Measurement of Depression Severity Using Deep Autoencoding.

Authors:  Hamdi Dibeklioglu; Zakia Hammal; Jeffrey F Cohn
Journal:  IEEE J Biomed Health Inform       Date:  2017-03-02       Impact factor: 5.772

5.  A Weakly Supervised Learning Framework for Detecting Social Anxiety and Depression.

Authors:  Asif Salekin; Jeremy W Eberle; Jeffrey J Glenn; Bethany A Teachman; John A Stankovic
Journal:  Proc ACM Interact Mob Wearable Ubiquitous Technol       Date:  2018-06

6.  Depression Screening from Voice Samples of Patients Affected by Parkinson's Disease.

Authors:  Yasin Ozkanca; Miraç Göksu Öztürk; Merve Nur Ekmekci; David C Atkins; Cenk Demiroglu; Reza Hosseini Ghomi
Journal:  Digit Biomark       Date:  2019-06-12

7.  Objective measurement of sociability and activity: mobile sensing in the community.

Authors:  Ethan M Berke; Tanzeem Choudhury; Shahid Ali; Mashfiqui Rabbi
Journal:  Ann Fam Med       Date:  2011 Jul-Aug       Impact factor: 5.166

8.  Detecting Depression Severity from Vocal Prosody.

Authors:  Ying Yang; Catherine Fairbairn; Jeffrey F Cohn
Journal:  IEEE Trans Affect Comput       Date:  2013-07-11       Impact factor: 10.506

9.  MOOD STATE PREDICTION FROM SPEECH OF VARYING ACOUSTIC QUALITY FOR INDIVIDUALS WITH BIPOLAR DISORDER.

Authors:  John Gideon; Emily Mower Provost; Melvin McInnis
Journal:  Proc IEEE Int Conf Acoust Speech Signal Process       Date:  2016-03

10.  Cross-Cultural Detection of Depression from Nonverbal Behaviour.

Authors:  Sharifa Alghowinem; Roland Goecke; Jeffrey F Cohn; Michael Wagner; Gordon Parker; Michael Breakspear
Journal:  IEEE Int Conf Autom Face Gesture Recognit Workshops       Date:  2015-05
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