ArticleInternational journal of environmental research and public health2021
Depressive Mood Assessment Method Based on Emotion Level Derived from Voice: Comparison of Voice Features of Individuals with Major Depressive Disorders and Healthy Controls.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effects of virtual reality mindfulness interventions on depression and anxiety: a meta-analysis.European journal of psychotraumatology · 2026Pooled it
- Validating objective and scalable speech markers of depression across two independent psychiatric cohorts.Annals of general psychiatry · 2026Article
- A Conversational Platform (Okaya) for Multimodal Digital Biomarkers of Fatigue, Cognition, and Mental Health: Feasibility Observational Study.JMIR formative research · 2026Observational
- Identifying Physiological and Cognitive Indicators of Subthreshold Depression and Major Depressive Disorder Progression Risk.Neuropsychiatric disease and treatment · 2026Article
- Detection of Chronic Musculoskeletal Pain Using Voice Characteristics.IEEE journal of translational engineering in health and medicine · 2025Article
- The voice of depression: speech features as biomarkers for major depressive disorder.BMC psychiatry · 2024Article
- Differentiation between depression and bipolar disorder in child and adolescents by voice features.Child and adolescent psychiatry and mental health · 2024Article
- Influence of mothers' stress on their infants' stress level: A preliminary study.Health psychology research · 2024Article
- Distinguish the Severity of Illness Associated with Novel Coronavirus (COVID-19) Infection via Sustained Vowel Speech Features.International journal of environmental research and public health · 2023Article
- Digital Phenotyping for Differential Diagnosis of Major Depressive Episode: Narrative Review.JMIR mental health · 2023Review
- Severity Classification Using Dynamic Time Warping-Based Voice Biomarkers for Patients With COVID-19: Feasibility Cross-Sectional Study.JMIR biomedical engineering · 2023Article
- Discrimination of mild cognitive impairment based on involuntary changes caused in voice elements.Frontiers in neurology · 2023Article
- Detection of Major Depressive Disorder Based on a Combination of Voice Features: An Exploratory Approach.International journal of environmental research and public health · 2022Article
- Relationship between Psychological Stress Determined by Voice Analysis and Periodontal Status: A Cohort Study.International journal of environmental research and public health · 2022Article
- Performance Evaluation of a Voice-Based Depression Assessment System Considering the Number and Type of Input Utterances.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn many developed countries, mood disorders have become problematic, and the economic loss due to treatment costs and interference with work is immeasurable. Therefore, a simple technique to determine individuals' depressive state and stress level is desired.
methodsWe developed a method to assess specific the psychological issues of individuals with major depressive disorders using emotional components contained in their voice. We propose two indices: vitality, a short-term index, and mental activity, a long-term index capturing trends in vitality. To evaluate our method, we used the voices of healthy individuals (
resultsA significant negative correlation existed between the vitality extracted from the voices and HAM-D scores (r = -0.33,
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