ArticleStress (Amsterdam, Netherlands)2019
Stress measurement using speech: Recent advancements, validation issues, and ethical and privacy considerations.
Article in Stress (Amsterdam, Netherlands), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Fundamental Frequency of Voice as a Potential Stress Biomarker: A Systematic Review and Meta-Analysis.Stress and health : journal of the International Society for the Investigation of Stress · 2025Pooled it
- Using voice and speech data in healthcare: a scoping review of the ethical, legal and social implications.Frontiers in digital health · 2026Review
- Predicting competitive outcomes in professional e-sports from 60-second pre-match voice acoustics using machine learning.Frontiers in psychology · 2026Article
- How Anxiety State Influences Speech Parameters: A Network Analysis Study from a Real Stressed Scenario.Brain sciences · 2025Article
- Ecologically valid speech collection in behavioral research: The Ghent Semi-spontaneous Speech Paradigm (GSSP).Behavior research methods · 2024Article
- Responsible development of clinical speech AI: Bridging the gap between clinical research and technology.NPJ digital medicine · 2024Review
- Mapping the ethical landscape of digital biomarkers: A scoping review.PLOS digital health · 2024Article
- Acoustic and prosodic speech features reflect physiological stress but not isolated negative affect: a multi-paradigm study on psychosocial stressors.Scientific reports · 2024Article
- Reliability and validity of a widely-available AI tool for assessment of stress based on speech.Scientific reports · 2023Article
- Detecting Social Contexts from Mobile Sensing Indicators in Virtual Interactions with Socially Anxious Individuals.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2023Article
- Manifestation of depression in speech overlaps with characteristics used to represent and recognize speaker identity.Scientific reports · 2023Article
- Speech as a promising biosignal in precision psychiatry.Neuroscience and biobehavioral reviews · 2023Review
- Exploring the association between voice biomarkers, psychological stress and disease severity in atopic dermatitis: A 12-week decentralized study using patients' own smartphones.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2022Article
- Mental Stress Assessment Using Ultra Short Term HRV Analysis Based on Non-Linear Method.Biosensors · 2022Article
- Monitoring the effects of therapeutic interventions in depression through self-assessments.Research in psychotherapy (Milano) · 2021Article
- A New Characterization of Mental Health Disorders Using Digital Behavioral Data: Evidence from Major Depressive Disorder.Journal of clinical medicine · 2021Article
- The Concept of Advanced Multi-Sensor Monitoring of Human Stress.Sensors (Basel, Switzerland) · 2021Review
- Linking physical and social environments with mental health in old age: a multisensor approach for continuous real-life ecological and emotional assessment.Journal of epidemiology and community health · 2021Article
- What Are We Measuring When We Evaluate Digital Interventions for Improving Lifestyle? A Scoping Meta-Review.Frontiers in public health · 2021Article
- Acoustic analysis of surgeons' voices to assess change in the stress response during surgical in situ simulation.BMJ simulation & technology enhanced learning · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Life stress is a well-established risk factor for a variety of mental and physical health problems, including anxiety disorders, depression, chronic pain, heart disease, asthma, autoimmune diseases, and neurodegenerative disorders. The purpose of this article is to describe emerging approaches for assessing stress using speech, which we do by reviewing the methodological advantages of these digital health tools, and the validation, ethical, and privacy issues raised by these technologies. As we describe, it is now possible to assess stress via the speech signal using smartphones and smart speakers that employ software programs and artificial intelligence to analyze several features of speech and speech acoustics, including pitch, jitter, energy, rate, and length and number of pauses. Because these digital devices are ubiquitous, we can now assess individuals' stress levels in real time in almost any natural environment in which people speak. These technologies thus have great potential for advancing digital health initiatives that involve continuously monitoring changes in psychosocial functioning and disease risk over time. However, speech-based indices of stress have yet to be well-validated against stress biomarkers (e.g., cortisol, cytokines) that predict disease risk. In addition, acquiring speech samples raises the possibility that conversations intended to be private could one day be made public; moreover, obtaining real-time psychosocial risk information prompts ethical questions regarding how these data should be used for medical, commercial, and personal purposes. Although assessing stress using speech thus has enormous potential, there are critical validation, privacy, and ethical issues that must be addressed.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.