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Vocal biomarkers of depression based on motor incoordination
5 references·16 citing·37 second hopsampled
Vocal biomarkers of depression based on motor incoordination (2013)Vocal biomarkers of depression based on m…AVEC 2013 (2013)AVEC 2013Detecting depression from facial actions and vocal prosody (2009)Detecting depression from fac…Voice acoustic measures of depression severity and treatment response collected via interactive voice response (IVR) technology (2006)Voice acoustic measures of de…Investigation of Vocal Jitter and Glottal Flow Spectrum as Possible Cues for Depression and Near-Term Suicidal Risk (2004)Investigation of Vocal Jitter…Acoustical properties of speech as indicators of depression and suicidal risk (2000)Acoustical properties of spee…Prediction of Depression Severity Based on the Prosodic and Semantic Features With Bidirectional LSTM and Time Distributed CNN (2022)Prediction of Depression Seve…Automatic depression recognition by intelligent speech signal processing: A systematic survey (2022)Automatic depression recognit…A hierarchical depression detection model based on vocal and emotional cues (2021)A hierarchical depression det…Spectral Representation of Behaviour Primitives for Depression Analysis (2020)Spectral Representation of Be…Facial Depression Recognition by Deep Joint Label Distribution and Metric Learning (2020)Facial Depression Recognition…Video-Based Depression Level Analysis by Encoding Deep Spatiotemporal Features (2018)Video-Based Depression Level …Integrating Deep and Shallow Models for Multi-Modal Depression Analysis—Hybrid Architectures (2018)Integrating Deep and Shallow …Human Behaviour-Based Automatic Depression Analysis Using Hand-Crafted Statistics and Deep Learned Spectral Features (2018)Human Behaviour-Based Automat…Decision Tree Based Depression Classification from Audio Video and Language Information (2016)Decision Tree Based Depressio…Self-Reported Symptoms of Depression and PTSD Are Associated with Reduced Vowel Space in Screening Interviews (2015)Self-Reported Symptoms of Dep…Automated Depression Diagnosis Based on Facial Dynamic Analysis and Sparse Coding (2015)Automated Depression Diagnosi…Analysis of acoustic space variability in speech affected by depression (2015)Analysis of acoustic space va…Multimodal Prediction of Affective Dimensions and Depression in Human-Computer Interactions (2014)Multimodal Prediction of Affe…Model Fusion for Multimodal Depression Classification and Level Detection (2014)Model Fusion for Multimodal D…Automatic Depression Scale Prediction using Facial Expression Dynamics and Regression (2014)Automatic Depression Scale Pr…Automatic audiovisual behavior descriptors for psychological disorder analysis (2014)Automatic audiovisual behavio…Development of a Rating Scale for Primary Depressive Illness (1967)Comparison of Beck Depression Inventories-IA and-II in Psychiatric Outpatients (1996)Affective Computing (1997)AVEC 2014 (2014)EEG Based Emotion Recognition: A Tutorial and Review (2022)The Epidemiology of Major Depressive Disorder (2003)MDN: A Deep Maximization-Differentiation Network for Spatio-Temporal Depression Detection (2021)Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey (2023)Transformer-based multimodal feature enhancement networks for multimodal depression detection integrating video, audio and remote photoplethysmograph signals (2023)A RATING SCALE FOR DEPRESSION (1960)An Inventory for Measuring Depression (1961)The Hospital Anxiety and Depression Scale (1983)Vocal Acoustic Biomarkers of Depression Severity and Treatment Response (2012)Detecting Depression Severity from Vocal Prosody (2013)Nonverbal Communication (2018)The phonetic description of voice quality (1980)Prediction of Suicide in Psychiatric Patients (1983)Vocal affect expression: A review and a model for future research. (1986)Emotional speech: Towards a new generation of databases (2003)Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011 (2012)Speech Emotion Recognition from Spectrograms with Deep Convolutional Neural Network (2017)Diagnostic and Statistical Manual of Mental Disorders (2008)Diagnostic and Statistical Manual of Mental Disorders (2013)SimSensei kiosk: a virtual human interviewer for healthcare decision support (2014)AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition (2019)Research Diagnostic Criteria (1978)An investigation of depressed speech detection: features and normalization (2011)Multimodal and Multiresolution Depression Detection from Speech and Facial Landmark Features (2016)A survey on big data-driven digital phenotyping of mental health (2019)The Distress Analysis Interview Corpus of human and computer interviews (2014)Automatic Detection of Depression in Speech Using Ensemble Convolutional Neural Networks (2020)Predicting Depression via Social Media (2021)AVEC 2016 (2016)A Deep Multiscale Spatiotemporal Network for Assessing Depression From Facial Dynamics (2020)Semi-Structural Interview-Based Chinese Multimodal Depression Corpus Towards Automatic Preliminary Screening of Depressive Disorders (2022)Diagnostic and Statistical Manual of Mental Disorders (2013)Video-based emotion recognition using CNN-RNN and C3D hybrid networks (2016)
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References

  • 2013AVEC 2013584 cited
  • 2000Acoustical properties of speech as indicators of depression and suicidal risk504 cited
  • 2009Detecting depression from facial actions and vocal prosody494 cited
  • 2006Voice acoustic measures of depression severity and treatment response collected via interactive voice response (IVR) technology380 cited
  • 2004Investigation of Vocal Jitter and Glottal Flow Spectrum as Possible Cues for Depression and Near-Term Suicidal Risk204 cited

Cited by

  • 2018Video-Based Depression Level Analysis by Encoding Deep Spatiotemporal Features161 cited
  • 2020Spectral Representation of Behaviour Primitives for Depression Analysis149 cited
  • 2016Decision Tree Based Depression Classification from Audio Video and Language Information148 cited
  • 2015Automated Depression Diagnosis Based on Facial Dynamic Analysis and Sparse Coding141 cited
  • 2018Human Behaviour-Based Automatic Depression Analysis Using Hand-Crafted Statistics and Deep Learned Spectral Features133 cited
  • 2015Self-Reported Symptoms of Depression and PTSD Are Associated with Reduced Vowel Space in Screening Interviews127 cited
  • 2014Automatic audiovisual behavior descriptors for psychological disorder analysis123 cited
  • 2015Analysis of acoustic space variability in speech affected by depression121 cited
  • 2018

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Integrating Deep and Shallow Models for Multi-Modal Depression Analysis—Hybrid Architectures
119 cited
  • 2014Multimodal Prediction of Affective Dimensions and Depression in Human-Computer Interactions114 cited
  • 2014Automatic Depression Scale Prediction using Facial Expression Dynamics and Regression114 cited
  • 2022Prediction of Depression Severity Based on the Prosodic and Semantic Features With Bidirectional LSTM and Time Distributed CNN101 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
  • 2020Facial Depression Recognition by Deep Joint Label Distribution and Metric Learning80 cited
  • 2014Model Fusion for Multimodal Depression Classification and Level Detection80 cited