Summary Integrating Convolutional Neural Networks and Vision Transformers in voice
analysis has unveiled a new horizon in mental health identification. Human voice, a …

Speech is the principal means of communication among humans for centuries. It arises
when the voice tone produced by the vocal cords is modulated by the articulators giving rise …

In clinical settings, early diagnosis and objective assessment depend on the detection of
voice pathology. To classify anomalous voices, this work uses an approach that combines …

Speech problems are a common issue that affects people everywhere and can affect the
quality of their lives. The human speech production system involves various components …

The paper developing a resilient speech classification system for individuals with voice
disorders poses a formidable challenge due to the significant variability and distortions …

Listening to lung sounds using a stethoscope is still one of the most important methods to
diagnose respiratory diseases. These sounds are complex and challenging to diagnose, as …

The ubiquity of smartphones today enables the widespread utilization of voice recording for
diverse purposes. Consequently, the submission of voice recordings as digital evidence in …

With the rapid development of deep learning methods, their application in pathological voice
detection has become increasingly extensive, yielding promising results. However, most …

The development of methods that combine different sources of information for medical
diagnosis is an essential challenge in the field of medical informatics. In this context, we …

Voice disorders, affecting pitch, intensity, and quality of sound from the larynx, significantly
impact individuals' quality of life. The growing attention from researchers underscores the …