Failure to timely diagnose and effectively treat depression leads to over 280 million people
suffering from this psychological disorder worldwide. The information cues of depression …

The sound of a person's voice is commonly used to identify the speaker. The sound of
speech is also starting to be used to detect medical conditions, such as depression. It is not …

Introduction As a biomarker of depression, speech signal has attracted the interest of many
researchers due to its characteristics of easy collection and non-invasive. However, subjects' …

There is an urgent need for new methods that improve the management and treatment of
Major Depressive Disorder (MDD). Speech has long been regarded as a promising digital …

Mental health risk prediction is a growing field in the speech community, but many studies
are based on small corpora. This study illustrates how variations in test and train set sizes …

Depression not only afflicts hundreds of millions of people but also contributes to a global
disability and healthcare burden. The primary method of diagnosing depression relies on …

Depression detection from speech has attracted a lot of attention in recent years. However,
the significance of speakerspecific information in depression detection has not yet been …

Depression, a prevalent mental health disorder impacting millions globally, demands
reliable assessment systems. Unlike previous studies that focus solely on either detecting …

The detection of perceived prominence in speech has attracted approaches ranging from
the design of knowledge-based linguistic and acoustic features to the automatic feature …

In this work we show that certain characteristics of speech important for depression detection
have future potential to allow privacy preservation. Specifically, we are interested in …