Computational Analysis of Voice Disorders

Computational Analysis of Voice Disorders

Signal Processing Approaches to Non-invasive Diagnosis of Laryngeal Diseases in Patients with Pathological Speech

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The development of mathematical methods for analyzing pathological speech signals is one of the best approaches to non-invasive diagnosis of laryngeal dysfunctions in patients with vocal fold disorders. The processing of disordered voice signals is a useful technique that provides a low-cost and time-efficient clinical tool for automatic detection of neurological and physical damages to the vocal folds. The application of these methods can help speech pathologists routinely monitor the functionality of patients' speech production system and provide them with appropriate therapies, medication o...