Automatic Assessment for Severe Self-Reported Depressive Symptoms Using Speech Cues

Wang, Jinfang; Lv, Ke; Liu, Chang; Nie, Xinli; Gowda, Dhananjaya; Luan, Shuxin

doi:10.1109/tcds.2020.3002512

Cited by 2 publications

(2 citation statements)

References 54 publications

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“…Healthy Control), more recent work tends to estimate multiple disorders at the same time, e.g. [13,41,42,43]. However, this problem has never been formulated in terms of symptoms.…”

Section: Perspectivesmentioning

confidence: 99%

Estimating Symptoms and Clinical Signs Instead of Disorders: The Path Toward The Clinical Use of Voice and Speech Biomarkers In Psychiatry

Martin,

Rouas

2024

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Despite the continuous innovation in voice biomarkers domain for more than a decade and the apparent need for clinicians to have objective diagnostic tools, no device has yet been implemented in real clinical settings or widely adopted by clinicians. After giving a short overview of the literature, we argue that in addition to the factors usually mentioned in the literature (low performance, database sizes, transparency, etc.), an underestimated but crucial factor preventing the use of such systems is the therapeutic relationship. We also discuss the "objectivity" of such systems, and the place of diagnosis in clinical practice and its conceptual limitations. In order to shape useful and relevant voice biomarkers, we propose to estimate symptoms instead of diagnosis, and draw perspectives related to this paradigm, which will require databases annotated with patients' symptoms rather than only their pathological status.

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“…Healthy Control), more recent work tends to estimate multiple disorders at the same time, e.g. [13,41,42,43]. However, this problem has never been formulated in terms of symptoms.…”

Section: Perspectivesmentioning

confidence: 99%

Estimating Symptoms and Clinical Signs Instead of Disorders: The Path Toward The Clinical Use of Voice and Speech Biomarkers In Psychiatry

Martin,

Rouas

2024

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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“…Neuro-physiological changes associated with depression infuence motor coordination and the efects can be detected in acoustic features, such as jitter and shimmer [23,24]. Such analysis can be used for automatically screening subjects and to facilitate diagnosis [31]. Recent studies also fnd speech behaviour features (e.g., pauses) to be very distinctive for diagnosis [2].…”

Section: Depression Analysismentioning

confidence: 99%

Towards using Breathing Features for Multimodal Estimation of Depression Severity

Pessanha

Kaya

Salah

et al. 2022

Proceedings of the 2022 International Conference on Multimodal Interaction

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Breathing patterns are shown to have strong correlations with emotional states, and hence have promise for automatic mood order prediction and analysis. An essential challenge here is the lack of ground truth for breathing sounds, especially for medical and archival datasets. In this study, we provide a cross-dataset approach for breathing pattern prediction and analyse the contribution of predicted breath signals for the detection of depressive states, using the DAIC-WOZ corpus. We use interpretable features in our models to provide actionable insights. Our experimental evaluation shows that in participants with higher depression scores (as indicated by the eight-item Patient Health Questionnaire, PHQ-8), breathing events tend to be shallow or slow. We furthermore tested linear and non-linear regression models with breathing, linguistic sentiment and conversational features, and show that these simple models outperform the AVEC17 Real-life Depression Recognition Sub-challenge baseline. CCS CONCEPTS• Computing methodologies → Machine learning approaches; Feature selection.

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Automatic Assessment for Severe Self-Reported Depressive Symptoms Using Speech Cues

Cited by 2 publications

References 54 publications

Estimating Symptoms and Clinical Signs Instead of Disorders: The Path Toward The Clinical Use of Voice and Speech Biomarkers In Psychiatry

Estimating Symptoms and Clinical Signs Instead of Disorders: The Path Toward The Clinical Use of Voice and Speech Biomarkers In Psychiatry

Towards using Breathing Features for Multimodal Estimation of Depression Severity

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