Title: LPC modelling and cepstral analysis applied to vocal fold pathology detection
Authors: Benedito G. Aguiar Neto, Silvana Cunha Costa, Joseana M. Fechine
Addresses: Department of Electrical Engineering, Federal University of Campina Grande, Paraiba, Brazil. ' Federal Center of Technological Education of Paraiba. ' Computer Science Department, Federal University of Campina Grande, Paraiba, Brazil
Abstract: Laryngeal pathologies are generally diagnosed using laryngoscopical exams, which are considered invasive to patients. Digital signal processing techniques are noninvasive and can be applied to perform an acoustic analysis for vocal quality assessment providing an objective diagnosis of pathological voices. This paper aims at specifying and evaluating the acoustic features for vocal fold edema through a parametric modelling based on the resonant structure of the human speech production mechanism by LPC and LPC-based cepstral coefficients and a nonparametric approach related to human auditory perception system by mel-frequency cepstral coefficients. A vector-quantising-trained distance classifier is used in the discrimination process.
Keywords: speech processing; cepstral analysis; vocal fold pathologies; LPC modelling; laryngeal pathologies; human auditory perception; linear predictive coding; vocal quality assessment; pathological voices.
DOI: 10.1504/IJFIPM.2008.020185
International Journal of Functional Informatics and Personalised Medicine, 2008 Vol.1 No.2, pp.156 - 170
Published online: 08 Sep 2008 *
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