Speech-based Depression Assessment: A Comprehensive Survey
Depression (major depressive disorder) is one of the most common mental illnesses
worldwide, causing feelings of sadness and loss of interest, and is a leading cause of …
worldwide, causing feelings of sadness and loss of interest, and is a leading cause of …
Deep learning-based classification of posttraumatic stress disorder and depression following trauma utilizing visual and auditory markers of arousal and mood
BackgroundVisual and auditory signs of patient functioning have long been used for clinical
diagnosis, treatment selection, and prognosis. Direct measurement and quantification of …
diagnosis, treatment selection, and prognosis. Direct measurement and quantification of …
Automatic assessment of the degree of clinical depression from speech using X-vectors
Depression is a frequent and curable psychiatric disorder, detrimentally affecting daily
activities, harming both work-place productivity and personal relationships. Among many …
activities, harming both work-place productivity and personal relationships. Among many …
Diagnostic accuracy of deep learning using speech samples in depression: a systematic review and meta-analysis
Objective This study aims to conduct a systematic review and meta-analysis of the
diagnostic accuracy of deep learning (DL) using speech samples in depression. Materials …
diagnostic accuracy of deep learning (DL) using speech samples in depression. Materials …
Mono-and multi-lingual depression prediction based on speech processing
G Kiss, K Vicsi - International Journal of Speech Technology, 2017 - Springer
In this paper a mono-and multi-lingual study is presented about the depressed speech
detection possibilities. Beck Depression Inventory questionnaires were used for the …
detection possibilities. Beck Depression Inventory questionnaires were used for the …
The applicability of the Beck Depression Inventory and Hamilton Depression Scale in the automatic recognition of depression based on speech signal processing
Depression is a growing problem worldwide, impacting on an increasing number of patients,
and also affecting health systems and the global economy. The most common diagnostical …
and also affecting health systems and the global economy. The most common diagnostical …
Comparison of read and spontaneous speech in case of automatic detection of depression
G Kiss, K Vicsi - 2017 8th IEEE International Conference on …, 2017 - ieeexplore.ieee.org
In this paper, read and spontaneous speech have been compared in the light of automatic
depression detection by speech processing. First, statistical analysis was carried out to …
depression detection by speech processing. First, statistical analysis was carried out to …
Detection of depression-related tweets in Mexico using crosslingual schemes and knowledge distillation
J Pool-Cen, H Carlos-Martínez, G Hernández-Chan… - Healthcare, 2023 - mdpi.com
Mental health problems are one of the various ills that afflict the world's population. Early
diagnosis and medical care are public health problems addressed from various …
diagnosis and medical care are public health problems addressed from various …
[PDF][PDF] Comparison of classifiers using robust features for depression detection on Bahasa Malaysia speech
NNWN Hashim, NA Basri, MAEA Ezzi… - Int J Artif Intell …, 2022 - academia.edu
Early detection of depression allows rapid intervention and reduce the escalation of the
disorder. Conventional method requires patient to seek diagnosis and treatment by visiting a …
disorder. Conventional method requires patient to seek diagnosis and treatment by visiting a …
[PDF][PDF] General utterance-level feature extraction for classifying crying sounds, atypical & self-assessed affect and heart beats
In the area of computational paralinguistics, there is a growing need for general techniques
that can be applied in a variety of tasks, and which can be easily realized using standard …
that can be applied in a variety of tasks, and which can be easily realized using standard …