A Review of Disorder Voice Processing Toward to Applications. Issue 3 (October 2020)

• Record Type: Journal Article
• Authors: Xu, Wenhua; Chen, Runxuan; Chen, Xiaobo
• Is Part Of: Journal of physics. Volume 1624:Issue 3(2020)
• Publication Date: 2020-10
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1624/3/032012
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Disorder voice processing has great potential to provide convenient, efficient and lowcost applications in medical diagnosis and treatment. For the purpose of a systematic summary of the research progress, this paper introduces it in three terms of research objects, acoustic parameters and features selection, and acoustic model and classification algorithms. It concludes that the appropriate feature selection, feature hybrid and feature offset, integrate with the deep learning frames are the future directions in disorder voice processing.