The speech emotion recognition (SER) field has been active since it became a crucial
feature in advanced Human-Computer Interaction (HCI), and wide real-life applications use …

Speech emotion recognition (SER) as a Machine Learning (ML) problem continues to
garner a significant amount of research interest, especially in the affective computing …

Objective Digital technology has changed the way healthcare is delivered and accessed.
However, the focus is mostly on technology and clinical aspects. This review aimed to …

Background The phenomenon of patients missing booked appointments without canceling
them—known as Did Not Show (DNS), Did Not Attend (DNA), or Failed To Attend (FTA) …

Speech is a powerful means to expressing thoughts, emotions, and perspectives. However,
accurately determining the emotions conveyed through speech remains a challenging task …

Many nations of the world struggle with the COVID-19 pandemic, as the disease causes
wide sweeping changes to society and the economy. One of the consequences of the …

Abstract In sophisticated Human-Computer Interfaces (HCI), the emotional state of the user
is becoming a crucial component that is closely linked to emotional speech recognition …

Mental health (MH) has become a global issue. Digital phenotyping in mental healthcare
provides a highly effective, scaled, cost-effective approach to handling global MH problems …

Mental health has emerged as a significant issue impacting people of all age groups. The
complexities of modern life, coupled with various socio-economic factors, have contributed …

[ES] El análisis de la señal de audio puede definirse como el proceso de extracción de
información relevante a partir de las muestras de la señal. En la mayoría de los casos, las …