CoChat
Sign Up
Cited by 504Emotion and Mood RecognitionVoice and Speech DisordersSpeech Recognition and Synthesis

The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.

Acoustical properties of speech as indicators of depression and suicidal risk

France, D.J., Shiavi, R.G., Silverman, S., Silverman, M., Wilkes, M.·2000·IEEE Transactions on Biomedical Engineering
DOI 10.1109/10.846676
Open this paper in CoChat — free account

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.

Overview

Integrity signals

Registry

Crossref · 10.1109/10.846676

Cites

43 of 43 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 9

  1. silverman, 0, From Sound to Silence-A Preliminary Investigation of the Use of Vocal Parameters in the Prediction of Near-Term Suicidal Risk
  2. 10.1037//0033-2909.99.2.143 · DOI
  3. roessler, 1979, vocal patterns in anxieety, Phenomenology and Treatment of Anxiety
  4. silverman, 1992, Vocal parameters as predictors of near-term suicidal risk
  5. juang, 1979, cepstrally based pitch and voicing estimation with statistical assistance homomorphic pitch detector, NSC Note no 140
  6. ostwald, 1963, Soundmaking The Acousical Communication of Emotion
  7. bannister, 1972, An instrumental and judgmental analysis of voice samples from psychiatrically hospitalized and nonhospitalized adolescents
  8. denber, 1978, Sound spectrum analysis of the mentally ill
  9. whitman, 1966, A potential new measurement of emotional state A preliminary report, 17, 167

Cited by

Sorted by citations

See all 504

Related

See all

Metadata

Authors
France, D. J., Shiavi, R. G., Silverman, S., Silverman, M., & Wilkes, M.
Affiliations
  • L-3 Communications (United States) (US)
  • Vanderbilt University (US)
  • Norwalk Hospital (US)
Venue
IEEE Transactions on Biomedical Engineering
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2000-07
Volume
47
Issue
7
Pages
829-837
ISSN
0018-9294 (ISSN-L)
DOI
10.1109/10.846676
OpenAlex
W2148822124
Cited by
504
References
41
Citations by year
2026: 16 · 2025: 30 · 2024: 31 · 2023: 37 · 2022: 34 · 2021: 45 · 2020: 41 · 2019: 25 · 2018: 34 · 2017: 27 · 2016: 26 · 2015: 27 · 2014: 23 · 2013: 25 · 2012: 17
FWCI
2.16
Type
journal article
Language
en
Open access
closed
Licence
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations
  • IEEE Transactions on Biomedical Engineering (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
  • Health Sciences › Health Professions › Speech and Hearing › Voice and Speech Disorders
  • Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
Keywords
speech acoustics, depression, suicide risk, voice fundamental frequency, amplitude modulation, formants, power spectral density, dysthymia, major depressive disorder, sex differences, psychomotor disorders
MeSH terms
Suicide Prevention, Adult, Biomedical Engineering, Depression, Female, Humans, Male, Middle Aged, Risk Factors, Speech Acoustics, Suicide, Case-Control Studies

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review