Pathological assessment of patients' speech signals using nonlinear dynamical analysis.
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Dysphonic Voice Pattern Analysis of Patients in Parkinson's Disease Using Minimum Interclass Probability Risk Feature Selection and Bagging Ensemble Learning Methods.Are speech attractor models useful in diagnosing vocal fold pathologies?Effective dysphonia detection using feature dimension reduction and kernel density estimation for patients with Parkinson's disease.Non-Linear Dynamic Analysis of Inter-Word Time Intervals in Psychotic Speech.Speech disorders in Parkinson's disease: early diagnostics and effects of medication and brain stimulation.Global Selection of Features for Nonlinear Dynamics Characterization of Emotional SpeechApplication of Nonlinear Dynamics Characterization to Emotional Speech
P2860
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P2860
Pathological assessment of patients' speech signals using nonlinear dynamical analysis.
description
2009 nî lūn-bûn
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2009年の論文
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2009年学术文章
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2009年学术文章
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2009年学术文章
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2009年学术文章
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2009年学术文章
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2009年學術文章
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name
Pathological assessment of patients' speech signals using nonlinear dynamical analysis.
@en
Pathological assessment of patients' speech signals using nonlinear dynamical analysis.
@nl
type
label
Pathological assessment of patients' speech signals using nonlinear dynamical analysis.
@en
Pathological assessment of patients' speech signals using nonlinear dynamical analysis.
@nl
prefLabel
Pathological assessment of patients' speech signals using nonlinear dynamical analysis.
@en
Pathological assessment of patients' speech signals using nonlinear dynamical analysis.
@nl
P1476
Pathological assessment of patients' speech signals using nonlinear dynamical analysis
@en
P2093
Ghazaleh Vaziri
Roozbeh Behroozmand
P356
10.1016/J.COMPBIOMED.2009.10.011
P577
2009-12-05T00:00:00Z