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Akademický článek

Classification of Dysphonic Voices in Parkinson’s Disease with Semi-Supervised Competitive Learning Algorithm

Autor: Guidong Bao, Mengchen Lin, Xiaoqian Sang, Yangcan Hou, Yixuan Liu, Yunfeng Wu

Publikováno v: Biosensors, Vol 12, Iss 7, p 502 (2022)

This article proposes a novel semi-supervised competitive learning (SSCL) algorithm for vocal pattern classifications in Parkinson’s disease (PD). The acoustic parameters of voice records were grouped into the families of jitter, shimmer, harmonic-

Externí odkaz: https://doaj.org/article/688713e06684483e960888fc8a098b21

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Semi-Supervised Learning Based on Competitive Prototype Seeds Selection for Phonation Detection of Patients with Parkinson’s Disease

Autor: Yangcan Hou, Wu Yunfeng, Gao Tingxuan, Xi Chen, Liu Yixuan

Publikováno v: ISMICT

Detection of phonation impairment is very useful for assessing the pathological progress of patients with Parkinson’s disease (PD) at early stages. In this paper, we first categorized the acoustic parameters into several families of jitter, shimmer

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7c1c082d6b05d0f58604498d52f6e85d
https://doi.org/10.1109/ismict51748.2021.9434903

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