Title :
Identification of voice disorders using speech samples
Author :
Nayak, Jagadish ; Bhat, P. Subhanna
Author_Institution :
Dept. of Electr. & Comput. Eng.,, MIT, Manipal, India
Abstract :
This paper attempts to identify pathological disorders of larynx using wavelet analysis. Speech samples carry symptoms of disorder in the place of their origin. The speech signal is subjected to wavelet analysis, and the coefficients are used to identify disorders such as vocal fold paralysis. Multilayer artificial neural network is used for classification of normal and affected signals.
Keywords :
medical signal processing; neural nets; signal sampling; speech processing; wavelet transforms; multilayer artificial neural network; speech signal; vocal fold paralysis; voice disorder identification; wavelet analysis; Artificial neural networks; Frequency; Larynx; Multi-layer neural network; Pathology; Signal analysis; Signal processing; Speech analysis; Wavelet analysis; Wavelet transforms;
Conference_Titel :
TENCON 2003. Conference on Convergent Technologies for the Asia-Pacific Region
Print_ISBN :
0-7803-8162-9
DOI :
10.1109/TENCON.2003.1273387
