QQ客服 官方微博 反馈留言

	Speech enhancement method based on convolutional gated recurrent neural network [基于卷积门控循环神经网络的语音增强方法]
	Yuan, Wenhao; Lou, Yingxi; Xia, Bin; Sun, Wenzhu
刊名	Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition)
	2019
卷号	47期号:4页码:13-18
关键词	Convolutional neural network Deep learning Local feature Recurrent neural network Speech enhancement
DOI	10.13245/j.hust.190403
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4551679
专题	山东大学
作者单位	1.College of Computer Science and Technology, Shandong University of Technology, Zibo 2.Shandong 3.255
推荐引用方式 GB/T 7714	Yuan, Wenhao,Lou, Yingxi,Xia, Bin,等. Speech enhancement method based on convolutional gated recurrent neural network [基于卷积门控循环神经网络的语音增强方法][J]. Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition),2019,47(4):13-18.
APA	Yuan, Wenhao,Lou, Yingxi,Xia, Bin,&Sun, Wenzhu.(2019).Speech enhancement method based on convolutional gated recurrent neural network [基于卷积门控循环神经网络的语音增强方法].Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition),47(4),13-18.
MLA	Yuan, Wenhao,et al."Speech enhancement method based on convolutional gated recurrent neural network [基于卷积门控循环神经网络的语音增强方法]".Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) 47.4(2019):13-18.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。