Dysphonic Voice Pattern Analysis of Patients in Parkinson's Disease Using Minimum Interclass Probability Risk Feature Selection and Bagging Ensemble Learning Methods

Analysis of quantified voice patterns is useful in the detection and assessment of dysphonia and related phonation disorders. In this paper, we first study the linear correlations between 22 voice parameters of fundamental frequency variability, amplitude variations, and nonlinear measures. The high...

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Detalles Bibliográficos
Autores principales: Wu, Yunfeng, Chen, Pinnan, Yao, Yuchen, Ye, Xiaoquan, Xiao, Yugui, Liao, Lifang, Wu, Meihong, Chen, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5434464/
https://www.ncbi.nlm.nih.gov/pubmed/28553366
http://dx.doi.org/10.1155/2017/4201984

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5434464/
https://www.ncbi.nlm.nih.gov/pubmed/28553366
http://dx.doi.org/10.1155/2017/4201984

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