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

Anxiety and Stress Disorders (1081) Methods and New Tools in Mental Health Research (463) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (847) Linguistics, Comprehension, and Learning (53) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (93)

Published on in Vol 9, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36828, first published .
Acoustic and Linguistic Features of Impromptu Speech and Their Association With Anxiety: Validation Study

Acoustic and Linguistic Features of Impromptu Speech and Their Association With Anxiety: Validation Study

Acoustic and Linguistic Features of Impromptu Speech and Their Association With Anxiety: Validation Study

Authors of this article:

Bazen Gashaw Teferra1 Author Orcid Image ;   Sophie Borwein2 Author Orcid Image ;   Danielle D DeSouza3 Author Orcid Image ;   William Simpson3, 4 Author Orcid Image ;   Ludovic Rheault5 Author Orcid Image ;   Jonathan Rose1 Author Orcid Image
Article Authors Cited by (10) Tweetations (3) Metrics

Journals

  1. Iyer R, Meyer D. Detection of Suicide Risk Using Vocal Characteristics: Systematic Review. JMIR Biomedical Engineering 2022;7(2):e42386 View
  2. Teferra B, Rose J. Predicting Generalized Anxiety Disorder From Impromptu Speech Transcripts Using Context-Aware Transformer-Based Neural Networks: Model Evaluation Study. JMIR Mental Health 2023;10:e44325 View
  3. Loch A, Lopes-Rocha A, Ara A, Gondim J, Cecchi G, Corcoran C, Mota N, Argolo F. Ethical Implications of the Use of Language Analysis Technologies for the Diagnosis and Prediction of Psychiatric Disorders. JMIR Mental Health 2022;9(11):e41014 View
  4. Teferra B, Borwein S, DeSouza D, Rose J. Screening for Generalized Anxiety Disorder From Acoustic and Linguistic Features of Impromptu Speech: Prediction Model Evaluation Study. JMIR Formative Research 2022;6(10):e39998 View
  5. Olah J, Diederen K, Gibbs-Dean T, Kempton M, Dobson R, Spencer T, Cummins N. Online speech assessment of the psychotic spectrum: Exploring the relationship between overlapping acoustic markers of schizotypy, depression and anxiety. Schizophrenia Research 2023;259:11 View
  6. Khoo L, Lim M, Chong C, McNaney R. Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches. Sensors 2024;24(2):348 View
  7. Sahu N, Yadav M, Lone H. Unveiling Social Anxiety: Analyzing Acoustic and Linguistic Traits in Impromptu Speech within a Controlled Study. ACM Journal on Computing and Sustainable Societies 2024;2(2):1 View
  8. Li W, Tang L, Montayre J, Harris C, West S, Antoniou M. Investigating Health and Well-Being Challenges Faced by an Aging Workforce in the Construction and Nursing Industries: Computational Linguistic Analysis of Twitter Data. Journal of Medical Internet Research 2024;26:e49450 View
  9. Soleimani L, Ouyang Y, Cho S, Kia A, Beeri M, Lin H, Ravona‐Springer R, Ramsingh N, Liberman M, Grossman M, Nevler N. Speech markers of depression dimensions across cognitive status. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 2024;16(3) View
  10. Riad R, Denais M, de Gennes M, Lesage A, Oustric V, Cao X, Mouchabac S, Bourla A. Automated Speech Analysis for Risk Detection of Depression, Anxiety, Insomnia, and Fatigue: Algorithm Development and Validation Study. Journal of Medical Internet Research 2024;26:e58572 View