This paper is in the following e-collection/theme issue:

New Methods (1134) Depression and Mood Disorders; Suicide Prevention (1687) Machine Learning (2074) Decision Support for Health Professionals (1538) Artificial Intelligence (2122) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (95)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45456, first published .
Acoustic Analysis of Speech for Screening for Suicide Risk: Machine Learning Classifiers for Between- and Within-Person Evaluation of Suicidality

Acoustic Analysis of Speech for Screening for Suicide Risk: Machine Learning Classifiers for Between- and Within-Person Evaluation of Suicidality

Acoustic Analysis of Speech for Screening for Suicide Risk: Machine Learning Classifiers for Between- and Within-Person Evaluation of Suicidality

Authors of this article:

Sooyeon Min1, 2 Author Orcid Image ;   Daun Shin3 Author Orcid Image ;   Sang Jin Rhee1 Author Orcid Image ;   C Hyung Keun Park4 Author Orcid Image ;   Jeong Hun Yang1 Author Orcid Image ;   Yoojin Song1 Author Orcid Image ;   Min Ji Kim2 Author Orcid Image ;   Kyungdo Kim5 Author Orcid Image ;   Won Ik Cho6 Author Orcid Image ;   Oh Chul Kwon7 Author Orcid Image ;   Yong Min Ahn1, 2 Author Orcid Image ;   Hyunju Lee1 Author Orcid Image
Article Authors Cited by (12) Tweetations (12) Metrics

Journals

  1. Lucarini V, Grice M, Wehrle S, Cangemi F, Giustozzi F, Amorosi S, Rasmi F, Fascendini N, Magnani F, Marchesi C, Scoriels L, Vogeley K, Krebs M, Tonna M. Language in interaction: turn-taking patterns in conversations involving individuals with schizophrenia. Psychiatry Research 2024;339:116102 View
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  7. Sartori R, Marinaro F, Tommasi F, Buccoliero A, Zene M, Shah S, Ceschi A. A Scoping Review on the Use of Voice Biomarkers for Emotional Assessment. European Journal of Psychological Assessment 2025 View
  8. Veiga D, Almeida T, Uchida R, Cordeiro Q. The Fundamental Frequency of Voice as a Potential Stress Biomarker: A Systematic Review and Meta–Analysis. Stress and Health 2025;41(5) View
  9. Min S, Yeum T, Shin D, Rhee S, Lee H, Lee H, Park S, Lee J, Ahn Y. Automated Speech Analysis for Screening and Monitoring Bipolar Depression: Development and Interpretation of Machine Learning Models (Preprint). JMIR Medical Informatics 2025 View
  10. Marie A, Garnier M, Bertin T, Machart L, Dardenne G, Quellec G, Berrouiguet S. Acoustic and machine learning methods for speech-based suicide risk assessment: A systematic review. Journal of Affective Disorders 2026;394:120569 View
  11. Saavedra C, Huenupán Quinán F, Guillén Cañas V, Hayde R, Peña K, Salazar A, Sánchez J, Hernández González O. Acoustic Markers of Suicidal Risk in Adolescents: Task- and Vowel-Specific Variations in Voice and Speech Parameters. Journal of Voice 2025 View
  12. Zhu Y, Yin Q, Xu H, Xiao F, Jiang Q, Liang M, Cheng Q, Liu T. Speech feature identification model for depressed individuals with suicidal ideation based on autobiographical memory. BMC Psychiatry 2025 View