Acoustic study of dysarthria
by Eduardo Castillo-Guerra
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 2, No. 4, 2009

Abstract: This paper evaluates a biomedical speech processing tool to perform acoustic studies of eight types of dysarthria based on a multidimensional approach. The performance of three different assessment methods is evaluated with 20 acoustic features derived perceptually and objectively. Results: An assessment method based on self-organised maps neural networks provides the highest assessment index (88.1%) and the most accurate analysis of relevant features. It also enables the creation of bi-dimensional maps that are of great significance for tracking the evolution of the disorders. The tool provides reference judgements of difficult-to-perceive acoustic dimensions that are relevant to clinical practice, rehabilitation and research.

Online publication date: Tue, 11-Aug-2009

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