Deep Learning-Based Analysis of Glottal Attack and Offset Times in Adductor Laryngeal Dystonia

Diagnosis of adductor laryngeal dystonia (AdLD) is challenging as it mimics voice features of other voice disorders. This could lead to misdiagnosis (or delayed diagnosis) and ineffective treatments of AdLD. This paper develops automated measurements of glottal attack time (GAT) and glottal offset time (GOT) from high-speed videoendoscopy (HSV) in connected speech as objective measures that can potentially facilitate the diagnosis of this disorder in the future.
Source: Journal of Voice - Category: ENT & OMF Authors: Source Type: research