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Automated depression analysis using convolutional neural networks from speech · Study

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ArticleAutomated depression analysis using convolutional neural networks from speech

Lang He2018

OA

Articlebronze2018

Automated depression analysis using convolutional neural networks from speech

Lang He · Cao Cui

250 citations·0/0 files stored·Journal of Biomedical Informatics

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Emotion and Mood Recognition Speech Recognition and Synthesis Speech and Audio Processing

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References

2013Diagnostic and Statistical Manual of Mental Disorders 1960A RATING SCALE FOR DEPRESSION 1979A New Depression Scale Designed to be Sensitive to Change 1996Comparison of Beck Depression Inventories-IA and-II in Psychiatric Outpatients 2002The PHQ-9: A New Depression Diagnostic and Severity Measure 2008The PHQ-8 as a measure of current depression in the general population 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 depression 1986Vocal affect expression: A review and a model for future research.

Cited by

2020Multimodal Spatiotemporal Representation for Automatic Depression Level Detection 2020A Novel Approach for Classification of Speech Emotions Based on Deep and Acoustic Features 2023Transformer-based multimodal feature enhancement networks for multimodal depression detection integrating video, audio and remote photoplethysmograph signals 2019Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders

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2021Deep learning for depression recognition with audiovisual cues: A reviewarticle · 12 shared references 2022Automatic depression recognition by intelligent speech signal processing: A systematic surveyarticle · 12 shared references 2018Automatic Depression Analysis Using Dynamic Facial Appearance Descriptor and Dirichlet Process Fisher Encodingarticle · 11 shared references 2020Facial Depression Recognition by Deep Joint Label Distribution and Metric Learningarticle · 9 shared references 2018Integrating Deep and Shallow Models for Multi-Modal Depression Analysis—Hybrid Architecturesarticle · 8 shared references 2019Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencodersarticle · 8 shared references

Details

Year2018

Typearticle

Published2018-05-28

VenueJournal of Biomedical Informatics

ISSN-L1532-0464

Languageen

Citations250

Files0 public / 0

ShelfEmotion and Mood Recognition

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doi10.1016/j.jbi.2018.05.007

openalex_workW2805409402

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2021

A hierarchical depression detection model based on vocal and emotional cues

2022Automatic depression recognition by intelligent speech signal processing: A systematic survey

2022Deep Multi-Modal Network Based Automated Depression Severity Estimation

2022Automatic Depression Detection Using Smartphone-Based Text-Dependent Speech Signals: Deep Convolutional Neural Network Approach