Can the human voice be measured by a computer?

Computational Analysis of Voice Disorders

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By (author) Roozbeh Behroozmand, By (author) Farshad Almasganj

The development of mathematical methods for analyzing pathological speech signals is one of the best approaches to the 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 the automatic detection of neurological and physical damage to the vocal folds. The application of these methods can help speech pathologists routinely monitor the functionality of patients' speech production systems and provide them with appropriate therapies, medication, or treatments.

Moreover, this method can help detect the early symptoms and prevent the progress of some severe types of these diseases (e.g. laryngeal cancer) by tracking changes in the acoustical parameters of a patient's' voice.

In this book, a variety of signal processing methods are proposed, implemented, and discussed with relevance to the diagnosis of different types of laryngeal diseases. The discussed methods include classical and novel signal processing approaches to the diagnosis of laryngeal diseases with a specific focus on vocal fold disorders in patients with pathological speech."