Pathological voice characterization has received increasing attention over the last 20 years.
Hundreds of studies have been published showing inventive approaches with very …

Objective Survey the current literature on artificial intelligence (AI) applications for detecting
and classifying vocal pathology using voice recordings, and identify challenges and …

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

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

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 …

Despite the continuous innovation in voice biomarkers domain for more than a decade and
the apparent need for clinicians to have objective diagnostic tools, no device has yet been …

Diseases of internal organs other than the vocal folds can also affect a person's voice. As a
result, voice problems are on the rise, even though they are frequently overlooked …

The preliminary diagnosis and evaluation of the presence and/or severity of Parkinson's
disease is crucial in controlling the progress of the disease. Real-time, non-invasive …

Background When investigating voice disorders a series of processes are used when
including voice screening and diagnosis. Both methods have limited standardized tests …

A large population around the world has voice complications. Various approaches for
subjective and objective evaluations have been suggested in the literature. The subjective …