Artificial Intelligence methodologies to enhance visualisation and subsequent analysis of vocal fold dynamics

For clinical assessment of the voice production process, evaluation of the acoustic voice signal as well as the laryngeal dynamics (i.e., the vocal fold oscillations), producing the source signal in the larynx, is highly important. Applying artificial intelligence (AI) methods in a clinical environment has become more and more popular during the last decade. Such AI methods are applied in a variety of clinical domains to enhance data visualisation, separate physiological from pathological data, predict risk factors for diseases and recurrences for cancer or quantify the severity of pathologies and disorders.