SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Multichannel Weighted Speech Classification System for Prediction of Major Depression in Adolescents
14 references·11 citing·51 second hop
Multichannel Weighted Speech Classification System for Prediction of Major Depression in Adolescents (2012)Multichannel Weighted Speech Classificati…Emotional inertia prospectively predicts the onset of depressive disorder in adolescence. (2011)Emotional inertia prospective…Emotional Inertia and Psychological Maladjustment (2010)Emotional Inertia and Psychol…Detection of Clinical Depression in Adolescents’ Speech During Family Interactions (2010)Detection of Clinical Depress…Prevention of Depression in At-Risk Adolescents (2009)Prevention of Depression in A…The relevance of feature type for the automatic classification of emotional user states: low level descriptors and functionals (2007)The relevance of feature type…Critical Analysis of the Impact of Glottal Features in the Classification of Clinical Depression in Speech (2007)Critical Analysis of the Impa…Investigation of Vocal Jitter and Glottal Flow Spectrum as Possible Cues for Depression and Near-Term Suicidal Risk (2004)Investigation of Vocal Jitter…Nonlinear feature based classification of speech under stress (2001)Nonlinear feature based class…Family Processes in Adolescent Depression (2001)Family Processes in Adolescen…Adolescent Onset of the Gender Difference in Lifetime Rates of Major Depression (2000)Adolescent Onset of the Gende…Acoustical properties of speech as indicators of depression and suicidal risk (2000)Acoustical properties of spee…Methodological issues in direct observation: Illustrations with the living in familial environments (LIFE) coding system (1995)Methodological issues in dire…The Prevention of Depression: Research and Practice (1993)The Prevention of Depression:…Some observations on oral air flow during phonation (1980)Some observations on oral air…Deconstructing demographic bias in speech-based machine learning models for digital health (2024)Deconstructing demographic bi…Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review (2022)Artificial intelligence assis…Deep Neural Networks for Depression Recognition Based on 2D and 3D Facial Expressions Under Emotional Stimulus Tasks (2021)Deep Neural Networks for Depr…Detection of major depressive disorder using vocal acoustic analysis and machine learning—an exploratory study (2020)Detection of major depressive…Multimodal assessment of depression from behavioral signals (2018)Multimodal assessment of depr…Detecting Unipolar and Bipolar Depressive Disorders from Elicited Speech Responses Using Latent Affective Structure Model (2018)Detecting Unipolar and Bipola…Attention-based convolutional neural network and long short-term memory for short-term detection of mood disorders based on elicited speech responses (2018)Attention-based convolutional…Coupled HMM-based multimodal fusion for mood disorder detection through elicited audio–visual signals (2016)Coupled HMM-based multimodal …Automated audiovisual depression analysis (2015)Automated audiovisual depress…Automatic analysis of speech F0 contour for the characterization of mood changes in bipolar patients (2014)Automatic analysis of speech …A Window into the Intoxicated Mind? Speech as an Index of Psychoactive Drug Effects (2014)A Window into the Intoxicated…Development during adolescence: The impact of stage€nvironment fit on young adolescents' experiences in schools and in families. (1993)The emergence of gender differences in depression during adolescence. (1994)Parental Socialization of Emotion (1998)How Do Outcomes in a Specified Parent Training Intervention Maintain or Wane Over Time? (2004)Examining School Connectedness as a Mediator of School Climate Effects (2006)Adolescents' relationships with their mothers and fathers: Associations with depressive disorder and subdiagnostic symptomatology. (2007)Biological Bases of Childhood Shyness (1988)Gender differences in personality: A meta-analysis. (1994)Gender Differences in Depression (2001)Why is depression more common among women than among men? (2016)Gender differences in depression in representative national samples: Meta-analyses of diagnoses and symptoms. (2017)Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present and Lifetime Version (K-SADS-PL): Initial Reliability and Validity Data (1997)Age of onset and timing of treatment for mental and substance use disorders: implications for preventive intervention strategies and models of care (2011)Age of onset of mental disorders and use of mental health services: needs, opportunities and obstacles (2011)Cognitive Mechanisms of Treatment in Depression (2011)Diagnostic and Statistical Manual of Mental Disorders (2012)Diagnostic and Statistical Manual of Mental Disorders (2013)Vocal affect expression: A review and a model for future research. (1986)Emotion recognition in human-computer interaction (2001)Prevalence, Severity, and Comorbidity of 12-Month DSM-IV Disorders in the National Comorbidity Survey Replication (2005)An investigation of depressed speech detection: features and normalization (2011)Speech emotion recognition approaches in human computer interaction (2011)Multimodal assistive technologies for depression diagnosis and monitoring (2013)Speech Analysis Synthesis and Perception (1965)Evidence for Nonlinear Sound Production Mechanisms in the Vocal Tract (1990)Depression recognition based on dynamic facial and vocal expression features using partial least square regression (2013)A Handbook of Child Psychology (1932)The CES-D Scale (1977)Emotion-Network Density in Major Depressive Disorder (2014)Looking at Emotion Regulation Through the Window of Emotion Dynamics (2015)Micro-Level Affect Dynamics in Psychopathology Viewed From Complex Dynamical System Theory (2015)Emotions and Speech: Some Acoustical Correlates (1972)Speech Analysis Synthesis and Perception (1972)The Lombard reflex and its role on human listeners and automatic speech recognizers (1993)Automatic speech emotion recognition using modulation spectral features (2010)Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies (2010)Speech Emotion Recognition Using Fourier Parameters (2015)Society and the Adolescent Self-Image (1965)Time Series Analysis: Forecasting and Control (1977)Why Do People Regulate Their Emotions? A Taxonomy of Motives in Emotion Regulation (2015)At the Frontiers of Modeling Intensive Longitudinal Data: Dynamic Structural Equation Models for the Affective Measurements from the COGITO Study (2018)A primer on two-level dynamic structural equation models for intensive longitudinal data in Mplus. (2019)Major depressive disorder in older adolescents (1998)A survey of speech emotion recognition in natural environment (2020)A hybrid model for depression detection using deep learning (2022)Emotion recognition from unimodal to multimodal analysis: A review (2023)The phonetic description of voice quality (1980)Prediction of Suicide in Psychiatric Patients (1983)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)
this work references cited by second hop

References

  • 2000Adolescent Onset of the Gender Difference in Lifetime Rates of Major Depression1,274 cited
  • 2010Emotional Inertia and Psychological Maladjustment729 cited
  • 2009Prevention of Depression in At-Risk Adolescents505 cited
  • 2000Acoustical properties of speech as indicators of depression and suicidal risk504 cited
  • 2001Nonlinear feature based classification of speech under stress409 cited
  • 1980Some observations on oral air flow during phonation344 cited
  • 2001Family Processes in Adolescent Depression320 cited
  • 2011Emotional inertia prospectively predicts the onset of depressive disorder in adolescence.279 cited
  • 2010Detection of Clinical Depression in Adolescents’ Speech During Family Interactions256 cited
  • 2007Critical Analysis of the Impact of Glottal Features in the Classification of Clinical Depression in Speech220 cited
  • 2004Investigation of Vocal Jitter and Glottal Flow Spectrum as Possible Cues for Depression and Near-Term Suicidal Risk204 cited
  • 2007The relevance of feature type for the automatic classification of emotional user states: low level descriptors and functionals191 cited
  • 1993The Prevention of Depression: Research and Practice149 cited
  • 1995Methodological issues in direct observation: Illustrations with the living in familial environments (LIFE) coding system

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

125 cited

Cited by

  • 2014A Window into the Intoxicated Mind? Speech as an Index of Psychoactive Drug Effects88 cited
  • 2021Deep Neural Networks for Depression Recognition Based on 2D and 3D Facial Expressions Under Emotional Stimulus Tasks70 cited
  • 2018Detecting Unipolar and Bipolar Depressive Disorders from Elicited Speech Responses Using Latent Affective Structure Model67 cited
  • 2015Automated audiovisual depression analysis62 cited
  • 2020Detection of major depressive disorder using vocal acoustic analysis and machine learning—an exploratory study62 cited
  • 2018Attention-based convolutional neural network and long short-term memory for short-term detection of mood disorders based on elicited speech responses59 cited
  • 2018Multimodal assessment of depression from behavioral signals55 cited
  • 2022Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review52 cited
  • 2016Coupled HMM-based multimodal fusion for mood disorder detection through elicited audio–visual signals44 cited
  • 2014Automatic analysis of speech F0 contour for the characterization of mood changes in bipolar patients43 cited
  • 2024Deconstructing demographic bias in speech-based machine learning models for digital health17 cited