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Automated depression analysis using convolutional neural networks from speech
16 references·16 citing·34 second hopsampled
Automated depression analysis using convolutional neural networks from speech (2018)Automated depression analysis using convo…A review of depression and suicide risk assessment using speech analysis (2015)A review of depression and su…COVAREP — A collaborative voice analysis repository for speech technologies (2014)COVAREP — A collaborative voi…AVEC 2014 (2014)AVEC 2014Diagnostic and Statistical Manual of Mental Disorders (2013)Diagnostic and Statistical Ma…AVEC 2013 (2013)AVEC 2013OpenEAR — Introducing the munich open-source emotion and affect recognition toolkit (2009)OpenEAR — Introducing the mun…Detecting depression from facial actions and vocal prosody (2009)Detecting depression from fac…The PHQ-8 as a measure of current depression in the general population (2008)The PHQ-8 as a measure of cur…Voice acoustic measures of depression severity and treatment response collected via interactive voice response (IVR) technology (2006)Voice acoustic measures of de…The 16-Item quick inventory of depressive symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression (2003)The 16-Item quick inventory o…The PHQ-9: A New Depression Diagnostic and Severity Measure (2002)The PHQ-9: A New Depression D…Comparison of Beck Depression Inventories-IA and-II in Psychiatric Outpatients (1996)Comparison of Beck Depression…Vocal cues in emotion encoding and decoding (1991)Vocal cues in emotion encodin…Vocal affect expression: A review and a model for future research. (1986)Vocal affect expression: A re…A New Depression Scale Designed to be Sensitive to Change (1979)A New Depression Scale Design…A RATING SCALE FOR DEPRESSION (1960)A RATING SCALE FOR DEPRESSIONTransformer-based multimodal feature enhancement networks for multimodal depression detection integrating video, audio and remote photoplethysmograph signals (2023)Transformer-based multimodal …Spatial–Temporal Feature Network for Speech-Based Depression Recognition (2023)Spatial–Temporal Feature Netw…Depression Detection in Speech Using Transformer and Parallel Convolutional Neural Networks (2023)Depression Detection in Speec…Bio-acoustic features of depression: A review (2023)Bio-acoustic features of depr…Attention guided learnable time-domain filterbanks for speech depression detection (2023)Attention guided learnable ti…E-Prevention: Advanced Support System for Monitoring and Relapse Prevention in Patients with Psychotic Disorders Analyzing Long-Term Multimodal Data from Wearables and Video Captures (2022)E-Prevention: Advanced Suppor…Depression recognition using a proposed speech chain model fusing speech production and perception features (2022)Depression recognition using …Deep Multi-Modal Network Based Automated Depression Severity Estimation (2022)Deep Multi-Modal Network Base…Deep learning techniques for suicide and depression detection from online social media: A scoping review (2022)Deep learning techniques for …Automatic depression recognition by intelligent speech signal processing: A systematic survey (2022)Automatic depression recognit…Automatic Depression Detection Using Smartphone-Based Text-Dependent Speech Signals: Deep Convolutional Neural Network Approach (2022)Automatic Depression Detectio…A hierarchical depression detection model based on vocal and emotional cues (2021)A hierarchical depression det…Multimodal Spatiotemporal Representation for Automatic Depression Level Detection (2020)Multimodal Spatiotemporal Rep…Interpretation of Depression Detection Models via Feature Selection Methods (2020)Interpretation of Depression …A Novel Approach for Classification of Speech Emotions Based on Deep and Acoustic Features (2020)A Novel Approach for Classifi…Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders (2019)Automatic Assessment of Depre…Coefficient Alpha and the Internal Structure of Tests (1951)The Measurement of Observer Agreement for Categorical Data (1977)The Epidemiology of Major Depressive Disorder (2003)Recommendations for a Standard Research Assessment of Insomnia (2006)Prevalence and Distribution of Major Depressive Disorder in African Americans, Caribbean Blacks, and Non-Hispanic Whites (2007)Diagnostic and Statistical Manual of Mental Disorders (2013)An Inventory for Measuring Depression (1961)The PHQ-9 (2001)A Brief Measure for Assessing Generalized Anxiety Disorder (2006)Anxiety Disorders in Primary Care: Prevalence, Impairment, Comorbidity, and Detection (2007)The expression of the emotions in man and animals. (1872)Bodily Changes in Pain, Hunger, Fear, and Rage. (1917)Psychological stress and the coping process (1966)Relations among emotion, appraisal, and emotional action readiness. (1989)Handbook of Emotions (1993)Cues to deception. (2003)Psychometric properties of the Beck Depression Inventory: Twenty-five years of evaluation (1988)Psychometric properties of the Beck Depression Inventory-II: a comprehensive review (2013)Development of a Rating Scale for Primary Depressive Illness (1967)Diagnostic Criteria for Use in Psychiatric Research (1972)The validity of the Hospital Anxiety and Depression Scale (2002)AVEC 2017 (2017)AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition (2019)Automated assessment of psychiatric disorders using speech: A systematic review (2020)Does Response on the PHQ-9 Depression Questionnaire Predict Subsequent Suicide Attempt or Suicide Death? (2013)The relationship between materialism and personal well-being: A meta-analysis. (2014)Impacts of the CARE for Teachers program on teachers’ social and emotional competence and classroom interactions. (2017)AVEC 2016 (2016)Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects (2023)The CES-D Scale (1977)Development and validation of a geriatric depression screening scale: A preliminary report (1982)The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research (1989)The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories (1995)The Posttraumatic Stress Disorder Checklist for DSM‐5 (PCL‐5): Development and Initial Psychometric Evaluation (2015)
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References

  • 2013Diagnostic and Statistical Manual of Mental Disorders116,254 cited
  • 1960A RATING SCALE FOR DEPRESSION32,812 cited
  • 1979A New Depression Scale Designed to be Sensitive to Change13,964 cited
  • 1996Comparison of Beck Depression Inventories-IA and-II in Psychiatric Outpatients5,962 cited
  • 2002The PHQ-9: A New Depression Diagnostic and Severity Measure5,897 cited
  • 2008The PHQ-8 as a measure of current depression in the general population5,113 cited
  • 2003The 16-Item quick inventory of depressive symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression3,828 cited
  • 1986Vocal affect expression: A review and a model for future research.1,768 cited
  • 2015A review of depression and suicide risk assessment using speech analysis1,007 cited
  • 2014COVAREP — A collaborative voice analysis repository for speech technologies685 cited
  • 2013AVEC 2013584 cited
  • 2009Detecting depression from facial actions and vocal prosody494 cited
  • 2014AVEC 2014475 cited
  • 1991Vocal cues in emotion encoding and decoding418 cited
  • 2009OpenEAR — Introducing the munich open-source emotion and affect recognition toolkit

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418 cited
  • 2006Voice acoustic measures of depression severity and treatment response collected via interactive voice response (IVR) technology380 cited
  • Cited by

    • 2020Multimodal Spatiotemporal Representation for Automatic Depression Level Detection172 cited
    • 2020A Novel Approach for Classification of Speech Emotions Based on Deep and Acoustic Features155 cited
    • 2023Transformer-based multimodal feature enhancement networks for multimodal depression detection integrating video, audio and remote photoplethysmograph signals137 cited
    • 2019Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders104 cited
    • 2021A hierarchical depression detection model based on vocal and emotional cues100 cited
    • 2022Automatic depression recognition by intelligent speech signal processing: A systematic survey99 cited
    • 2022Deep Multi-Modal Network Based Automated Depression Severity Estimation98 cited
    • 2022Automatic Depression Detection Using Smartphone-Based Text-Dependent Speech Signals: Deep Convolutional Neural Network Approach97 cited
    • 2022Deep learning techniques for suicide and depression detection from online social media: A scoping review94 cited
    • 2020Interpretation of Depression Detection Models via Feature Selection Methods86 cited
    • 2022Depression recognition using a proposed speech chain model fusing speech production and perception features81 cited
    • 2023Depression Detection in Speech Using Transformer and Parallel Convolutional Neural Networks75 cited
    • 2023Spatial–Temporal Feature Network for Speech-Based Depression Recognition73 cited
    • 2023Attention guided learnable time-domain filterbanks for speech depression detection69 cited
    • 2022E-Prevention: Advanced Support System for Monitoring and Relapse Prevention in Patients with Psychotic Disorders Analyzing Long-Term Multimodal Data from Wearables and Video Captures68 cited
    • 2023Bio-acoustic features of depression: A review63 cited