Vocal Biomarkers of Childhood Trauma: A Machine-Learning Approach to Speech Analysis.

Adem H

DOI: 10.1044/2026_jslhr-25-00642
Published: 2026 May 7
Container: Journal of speech, language, and hearing research : JSLHR
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1044/2026_jslhr-25-00642,
  title = {Vocal Biomarkers of Childhood Trauma: A Machine-Learning Approach to Speech Analysis.},
  author = {Adem H},
  year = {2026},
  journal = {Journal of speech, language, and hearing research : JSLHR},
  doi = {10.1044/2026_jslhr-25-00642},
  url = {https://doi.org/10.1044/2026_jslhr-25-00642}
}

RIS

TY  - JOUR
TI  - Vocal Biomarkers of Childhood Trauma: A Machine-Learning Approach to Speech Analysis.
AU  - Adem H
PY  - 2026
JO  - Journal of speech, language, and hearing research : JSLHR
DO  - 10.1044/2026_jslhr-25-00642
UR  - https://doi.org/10.1044/2026_jslhr-25-00642
ER  -

APA

H, A. (2026). Vocal Biomarkers of Childhood Trauma: A Machine-Learning Approach to Speech Analysis.. Journal of speech, language, and hearing research : JSLHR. https://doi.org/10.1044/2026_jslhr-25-00642

Source records

pubmed · retrieved 2026-09-26T05:13:21.750Z