标题:Applications of Deep I earning in Supervised Speech Separation
作者:Bai, Shuangran; Liu, Yungang; Zhang, Ting; Li, Fengzhong
通讯作者:Bai, SR
作者机构:[Bai, Shuangran; Liu, Yungang; Zhang, Ting; Li, Fengzhong] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Shandong, Peoples R China.
会议名称:Chinese Automation Congress (CAC)
会议日期:OCT 20-22, 2017
来源:2017 CHINESE AUTOMATION CONGRESS (CAC)
出版年:2017
页码:6539-6544
摘要:Recently, deep learning has been proposed and verified to possess the strong ability to learn and express complex features, which has brought significant research achievements in Signal processing. As a challenging task in speech signal processing, monaural speech separation has always been the research focus of researchers. From the usage of traditional signal processing methods and shallow models to the applications of deep learning, a breakthrough has been made in the study of monaural speech separation. This paper firstly makes a brief introduction to various monaural speech separation methods, and then intensively presents the general process of speech separation and the applications of deep learning in speech separation.
收录类别:CPCI-S
资源类型:会议论文
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