SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Detecting subtle signs of depression with automated speech analysis in a non-clinical sample
16 references·1 citing·44 second hop
Detecting subtle signs of depression with automated speech analysis in a non-clinical sample (2022)Detecting subtle signs of depression with…Speech as a Biomarker for Depression (2021)Speech as a Biomarker for Dep…Interpretation of Depression Detection Models via Feature Selection Methods (2020)Interpretation of Depression …Effects of COVID-19 on College Students’ Mental Health in the United States: Interview Survey Study (2020)Effects of COVID-19 on Colleg…Automated assessment of psychiatric disorders using speech: A systematic review (2020)Automated assessment of psych…Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety (2019)Toward clinical digital pheno…Automatic Detection of Incoherent Speech for Diagnosing Schizophrenia (2018)Automatic Detection of Incohe…Automated depression analysis using convolutional neural networks from speech (2018)Automated depression analysis…A Random Forest Regression Method With Selected-Text Feature For Depression Assessment (2017)A Random Forest Regression Me…Exploratory Analysis of Social Media Prior to a Suicide Attempt (2016)Exploratory Analysis of Socia…A review of depression and suicide risk assessment using speech analysis (2015)A review of depression and su…Vocal Acoustic Biomarkers of Depression Severity and Treatment Response (2012)Vocal Acoustic Biomarkers of …Allgemeine Depressionsskala (ADS) (2012)Allgemeine Depressionsskala (…An investigation of depressed speech detection: features and normalization (2011)An investigation of depressed…Cognition and Depression: Current Status and Future Directions (2010)Cognition and Depression: Cur…The CHILDES project: tools for analyzing talk (1992)The CHILDES project: tools fo…The relation of the Trail Making Test to organic brain damage. (1955)The relation of the Trail Mak…Automated Speech Analysis for Risk Detection of Depression, Anxiety, Insomnia, and Fatigue: Algorithm Development and Validation Study (2024)Automated Speech Analysis for…The PHQ-9 (2001)Diagnostic and Statistical Manual of Mental Disorders (2013)Diagnostic and Statistical Manual of Mental Disorders (2013)AVEC 2017 (2017)AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition (2019)A RATING SCALE FOR DEPRESSION (1960)A New Depression Scale Designed to be Sensitive to Change (1979)Automated Depression Diagnosis Based on Deep Networks to Encode Facial Appearance and Dynamics (2017)Multimodal Spatiotemporal Representation for Automatic Depression Level Detection (2020)Deep learning for depression recognition with audiovisual cues: A review (2021)Emotional Intelligence (1990)Diagnostic and Statistical Manual of Mental Disorders. (2000)A Heuristic for Developing Transdiagnostic Models of Psychopathology (2011)Neural mechanisms of the cognitive model of depression (2011)Marital quality and health: A meta-analytic review. (2013)Acoustical properties of speech as indicators of depression and suicidal risk (2000)Investigation of Vocal Jitter and Glottal Flow Spectrum as Possible Cues for Depression and Near-Term Suicidal Risk (2004)Critical Analysis of the Impact of Glottal Features in the Classification of Clinical Depression in Speech (2007)Multimodal assistive technologies for depression diagnosis and monitoring (2013)Decision Tree Based Depression Classification from Audio Video and Language Information (2016)Multimodal Measurement of Depression Using Deep Learning Models (2017)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Digital Phenotyping (2017)Multidisciplinary research priorities for the COVID-19 pandemic: a call for action for mental health science (2020)Predicting Symptoms of Depression and Anxiety Using Smartphone and Wearable Data (2021)Psychiatric diagnosis and treatment in the 21st century: paradigm shifts versus incremental integration (2022)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)AI in mental health (2020)Automatic Detection of Depression in Speech Using Ensemble Convolutional Neural Networks (2020)A Global Measure of Perceived Stress (1983)Using thematic analysis in psychology (2006)Investigating Mental Health of US College Students During the COVID-19 Pandemic: Cross-Sectional Survey Study (2020)The psychological impact of quarantine and how to reduce it: rapid review of the evidence (2020)Emergency remote teaching and students’ academic performance in higher education during the COVID-19 pandemic: A case study (2021)Academic Stress and Mental Well-Being in College Students: Correlations, Affected Groups, and COVID-19 (2022)The Essential Child (2003)Design Research: Theoretical and Methodological Issues (2004)The myth of language universals: Language diversity and its importance for cognitive science (2009)VALIDITY OF THE TRAIL MAKING TEST AS AN INDICATOR OF ORGANIC BRAIN DAMAGE (1958)Trail making test: normative values from 287 normal adult controls (1996)Oxytocin Enhances Amygdala-Dependent, Socially Reinforced Learning and Emotional Empathy in Humans (2010)A Novel Approach for Classification of Speech Emotions Based on Deep and Acoustic Features (2020)Transformer-based multimodal feature enhancement networks for multimodal depression detection integrating video, audio and remote photoplethysmograph signals (2023)
this work references cited by second hop

References

  • 1992The CHILDES project: tools for analyzing talk3,399 cited
  • 2020Effects of COVID-19 on College Students’ Mental Health in the United States: Interview Survey Study2,820 cited
  • 2010Cognition and Depression: Current Status and Future Directions2,420 cited
  • 1955The relation of the Trail Making Test to organic brain damage.1,801 cited
  • 2015A review of depression and suicide risk assessment using speech analysis1,007 cited
  • 2020Automated assessment of psychiatric disorders using speech: A systematic review514 cited
  • 2019Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety433 cited
  • 2012Vocal Acoustic Biomarkers of Depression Severity and Treatment Response324 cited
  • 2018Automated depression analysis using convolutional neural networks from speech250 cited
  • 2011An investigation of depressed speech detection: features and normalization188 cited
  • 2016Exploratory Analysis of Social Media Prior to a Suicide Attempt154 cited
  • 2012Allgemeine Depressionsskala (ADS)120 cited
  • 2018Automatic Detection of Incoherent Speech for Diagnosing Schizophrenia115 cited
  • 2021Speech as a Biomarker for Depression109 cited
  • 2017A Random Forest Regression Method With Selected-Text Feature For Depression Assessment

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

88 cited
  • 2020Interpretation of Depression Detection Models via Feature Selection Methods86 cited
  • Cited by

    • 2024Automated Speech Analysis for Risk Detection of Depression, Anxiety, Insomnia, and Fatigue: Algorithm Development and Validation Study35 cited