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Wavelet time-frequency analysis and least squares support vector machines for the identification of voice disorders.

, , , , и . Comput. Biol. Medicine, 37 (4): 571-578 (2007)

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José Carlos Fernandes Pereira

Carlos José Passos Pereira

Carlos Eduardo Pereira

José Carlos Martin

Carlos José Forlenza

 

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Autoregressive decomposition and pole tracking applied to vocal fold nodule signals., , , , , , , , и . Pattern Recognit. Lett., 28 (11): 1360-1367 (2007)A neural-wavelet architecture for voice conversion., , , , , , и . Neurocomputing, 71 (1-3): 174-180 (2007)Voice Signals Characterization through Entropy Measures., , , и . BIOSIGNALS (2), стр. 163-170. INSTICC - Institute for Systems and Technologies of Information, Control and Communication, (2008)978-989-8111-18-0.Signal processing and statistical procedures to identify laryngeal pathologies., , , и . ICECS, стр. 423-426. IEEE, (1999)Nonlinear Dynamical Analysis of Normal Voices., , и . ISM, стр. 765-771. IEEE Computer Society, (2005)Discrete Wavelet Transform and Support Vector Machine Applied to Pathological Voice Signals Identification., , , и . ISM, стр. 785-789. IEEE Computer Society, (2005)Analysis of Voice Pathology Evolution Using Entropy Rate., , , , и . ISM, стр. 580-585. IEEE Computer Society, (2008)Voice analysis of patients with neurological disorders using acoustical and nonlinear tools., , , и . MLSP, стр. 1-6. IEEE, (2012)Advances on computer-based biological signal processing techniques., , и . Comput. Electr. Eng., 34 (2): 79-80 (2008)Adaptive estimation of residue signal for voice pathology diagnosis., , и . IEEE Trans. Biomed. Eng., 47 (1): 96-104 (2000)