Deep dual-side learning ensemble model for Parkinson speech recognition

•A deep sample learning algorithm (DSL) is constructed for PD speech feature data.•An embedded deep stack group sparse autoencoder (EGSAE) is designed for PD speech data.•Deep dual-side learning ensemble model is constructed by combining EGSAE and DSL.•Both the diagnosis and automatic assessment of...

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Vydané v:	Biomedical signal processing and control Ročník 69; s. 102849
Hlavní autori:	Ma, Jie, Zhang, Yuanfan, Li, Yongming, Zhou, Lang, Qin, Lingyun, Zeng, Yuwei, Wang, Pin, Lei, Yan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.08.2021
Predmet:	Automatic assessment of rehabilitative speech treatment Deep dual-side learning Deep learning Deep sample learning Feature fusion Speech recognition of Parkinson's disease Deep learning Speech recognition of Parkinson's disease Feature fusion Deep sample learning Automatic assessment of rehabilitative speech treatment Deep dual-side learning
ISSN:	1746-8094, 1746-8108
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