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Ecologically valid long-term mood monitoring of individuals with bipolar disorder using speech

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References

2009Detecting depression from facial actions and vocal prosody494 cited
1986The Hamilton Rating Scale for Depression466 cited
2006Voice acoustic measures of depression severity and treatment response collected via interactive voice response (IVR) technology380 cited
2010Automated vocal analysis of naturalistic recordings from children with autism, language delay, and typical development344 cited
2013Depression recognition based on dynamic facial and vocal expression features using partial least square regression224 cited
2007Critical Analysis of the Impact of Glottal Features in the Classification of Clinical Depression in Speech220 cited
2013Investigating voice quality as a speaker-independent indicator of depression and PTSD141 cited

Cited by

2019Improving Cross-Corpus Speech Emotion Recognition with Adversarial Discriminative Domain Generalization (ADDoG)128 cited
2019Giving Voice to Vulnerable Children: Machine Learning Analysis of Speech Detects Anxiety and Depression in Early Childhood128 cited
2017Using regional saliency for speech emotion recognition126 cited
2019Speech‐based markers for posttraumatic stress disorder in US veterans121 cited
2016Evaluation of Voice Acoustics as Predictors of Clinical Depression Scores103 cited
2016Mood state prediction from speech of varying acoustic quality for individuals with bipolar disorder

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94 cited

2015New approach in quantification of emotional intensity from the speech signal: emotional temperature74 cited

2020Clinical state tracking in serious mental illness through computational analysis of speech71 cited

2018Detecting Unipolar and Bipolar Depressive Disorders from Elicited Speech Responses Using Latent Affective Structure Model67 cited

2022Detection of major depressive disorder, bipolar disorder, schizophrenia and generalized anxiety disorder using vocal acoustic analysis and machine learning: an exploratory study59 cited

2018Attention-based convolutional neural network and long short-term memory for short-term detection of mood disorders based on elicited speech responses59 cited

2019A step-by-step guide to collecting and analyzing long-format speech environment (LFSE) recordings56 cited

2018The PRIORI Emotion Dataset: Linking Mood to Emotion Detected In-the-Wild50 cited

2016Technology to assess and support self-management in serious mental illness48 cited

2021Automatic Emotion Recognition in Clinical Scenario: A Systematic Review of Methods47 cited

2015Smartphone Application for the Analysis of Prosodic Features in Running Speech with a Focus on Bipolar Disorders: System Performance Evaluation and Case Study46 cited