Diseases can affect organs such as the heart, lungs, brain, muscles, or vocal folds, which
can then alter an individual's voice. Therefore, voice analysis using artificial intelligence …

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

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 voice results in acoustic signals analyzed and synthetized at first for telecommunication
matters, and more recently investigated for medical purposes. In particular, voice signal …

Purpose: Over the past decade, the signal processing and machine learning literature has
demonstrated notable advancements in automated speech processing with the use of …

Purpose Diagnosis and treatment in psychiatry are still highly dependent on reports from
patients and on clinician judgment. This fact makes them prone to memory and subjectivity …

Quantifying neurological disorders from voice is a rapidly growing field of research and
holds promise for unobtrusive and large-scale disorder monitoring. The data recording setup …

Speech carries essential information about the speaker's physiology and possible
pathophysiological conditions. Bio-acoustic voice qualities show promising value for …

Many common voice disorders are chronic or recurring conditions that are likely to result
from inefficient and/or abusive patterns of vocal behavior, referred to as vocal hyperfunction …

Biomarkers derived from human voice can offer in-sight into neurological disorders, such as
Parkinson's disease (PD), because of their underlying cognitive and neuromuscular …