Support vector wavelet adaptation for pathological voice assessment

Author:

Erfanian Saeedi Nafise,Almasganj Farshad,Torabinejad Farhad

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference37 articles.

1. Wavelet time-frequency analysis and least square support vector machines for the identification of voice disorders;Fonseca;Journal of Computers in Biology and Medicine,2007

2. P. Kukharchik, D. Martynov, I. Kheidorov, O. Kotov, Vocal fold pathology detection using modified wavelet-like features and support vector machines, in: Proceedings of the 6th EURASIP Conference focused on speech and image processing, Poznan, 2007, pp. 2214–2218.

3. Optimal selection of wavelet-packet-based features using genetic algorithm in pathological assessment of patients' speech signal with unilateral vocal fold paralysis;Behroozmand;Elsevier Journal of Computers in Biology and Medicine,2007

4. A wavelet-like filter based on neuron action potentials for analysis of human scalp electroencephalographs;Glassman;IEEE Transactions on Biomedical Engineering,2005

5. A. Kazakevicius, C.R. Rodrigues, R.C. Nunes, R.G. Filho, Adaptive ECG Filtering and QRS Detection using Orthogonal Wavelet Transform.

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