Speech technology is not appropriately explored even though modern advances in speech
technology—especially those driven by deep learning (DL) technology—offer …

Parkinson's Disease (PD) is a progressive neurodegenerative illness triggered by
decreased dopamine secretion. Deep Learning (DL) has gained substantial attention in PD …

Voice technology has grown tremendously in recent years and using voice as a biomarker
has also been gaining evidence. We demonstrate the potential of voice in serving as a deep …

The feasibility and popularity of mobile healthcare are currently increasing. The
advancement of modern technologies, such as wireless communication, data processing …

This paper proposes a speech-based method for automatic depression classification. The
system is based on ensemble learning for Convolutional Neural Networks (CNNs) and is …

Speech signals often include paralinguistic features such as pathologies that impair a
speaker's capability to communicate. Those cognitive symptoms have various causes …

In the last decade, the implementation of machine learning algorithms in the analysis of
voice disorder is paramount in order to provide a non-invasive voice pathology detection by …

The healthcare industry is currently seeing a significant rise in the use of mobile devices.
These devices not only provide ways for communication and sharing of multimedia …

Voice changes may be the earliest signs in laryngeal cancer. We investigated whether
automated voice signal analysis can be used to distinguish patients with laryngeal cancer …

Background Dysphonia influences the quality of life by interfering with communication.
However, a laryngoscopic examination is expensive and not readily accessible in primary …