Introduction Over the past decade, several machine learning (ML) algorithms have been
investigated to assess their efficacy in detecting voice disorders. Literature indicates that ML …

Voice disorder is a frequently encountered health issue. Many people, however, either
cannot afford to visit a professional doctor or neglect to take good care of their voice. In order …

The human voice production system is an intricate biological device capable of modulating
pitch and loudness. Inherent internal and/or external factors often damage the vocal folds …

Objective Early recognition and referral are crucial for voice disorder management. Limited
availability of subspecialists, poor primary care awareness, and the need for specialized …

Owing to the development of machine learning, particularly deep learning, researchers have
focused on automatic voice-disorder detection. However, voice-disorder datasets vary …

Background Normal voice production depends on the synchronized cooperation of multiple
physiological systems, which makes the voice sensitive to changes. Any systematic …

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 …

A voice disorder is a state that influences the quality, loudness, or pitch of a person's voice.
Classifying voice disorders automatically by non-invasive methods can help doctors to …

Voice disorders are very common in the global population. Many researchers have
conducted research on the identification and classification of voice disorders based on …

Voice pathology diagnosis requires extracting significant features from voice signals, and
classical machine learning models can overfit to the training data, which can cause difficult …