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 …

Our emotional, psychological, and social well-being are all parts of our mental health,
influencing our thoughts, emotions, and behaviors. Mental health also influences how we …

Wood-boring pests (WBPs) are among the most destructive pests to trees, yet their presence
is difficult to detect due to their concealed lifestyles. Audio signals generated through the …

The application of machine learning (ML) in detecting, diagnosing, and treating mental
health disorders is garnering increasing attention. Traditionally, research has focused on …

Abstract Major Depressive Disorder (MDD) is an affective disorder that can lead to persistent
sadness and a decline in the quality of life, increasing the risk of suicide. Utilizing multimodal …

Simple Summary This study addresses the significance of animal sounds as valuable
indicators of both behavior and health in animals, emphasizing the challenges involved in …

Myocardial infarction (MI) is a common cardiovascular disease caused by the blockages of
coronary arteries. The visual inspection of electrocardiogram (ECG) is the main diagnosis …

Abstract Depression Detection of Speech is widely applied due to its ease of acquisition and
imbuing with emotion. However, there exist challenges in effectively segmenting and …

In this work, we focus on the detection of depression through speech analysis. Previous
research has widely explored features extracted from pre-trained models (PTMs) primarily …

Depression is a prevalent mental health issue affecting individuals of all age groups
globally. Similar to other mental health disorders, diagnosing depression presents …