Title :
Objective assessment of pathological voice quality
Author :
Ritchings, R.T. ; McGillion, M.A. ; Conroy, G.V. ; Moore, C.J.
Author_Institution :
Comput. Dept., Univ. of Manchester Inst. of Sci. & Technol., UK
Abstract :
This paper describes a new technique for objective analysis of voice quality in male volunteers (normal) and male patients (abnormal) recovering from cancer of the larynx. The fundamental-harmonic normalised (FHN) spectra is derived from the power spectrum of normal and abnormal phonating the vowel /i/. A mixture of Gaussian are fitted to the FHN spectra and the parameters obtained are the means, standard deviation, and mass of the density functions. A dataset of 116 normal and abnormal is used to train and test a multilayer perceptron (MLP) neural network. The ability of the trained MLP to classify impedance signals as normal or abnormal is presented
Keywords :
medical signal processing; multilayer perceptrons; pattern classification; spectral analysis; speech; Gaussian mixture; abnormal phonating; fundamental-harmonic normalised spectra; multilayer perceptron; neural network; normal phonating; objective analysis; pathological voice quality assessment; speech signal classification; vowel; Cancer; Density functional theory; Impedance; Larynx; Multi-layer neural network; Multilayer perceptrons; Neural networks; Pathology; Speech analysis; Testing;
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5731-0
DOI :
10.1109/ICSMC.1999.816575
