Author:
Xu Wenhua,Chen Runxuan,Chen Xiaobo
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.
Subject
General Physics and Astronomy
Cited by
1 articles.
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