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Title: Identification of voice disorders using speech samples
Authors: Nayak, J.
Bhat, P.S.
Issue Date: 2003
Citation: IEEE Region 10 Annual International Conference, Proceedings/TENCON, 2003, Vol.2, , pp.951-953
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.
Appears in Collections:2. Conference Papers

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