版权说明 操作指南
首页 > 成果 > 详情

An audio attention computational model based on information entropy of two channels and exponential moving average

认领
导出
Link by 万方学术期刊
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Liu, Yu;Zhang, Cong*;Hang, Bo;Wang, Song;Chao, Han-Chieh
通讯作者:
Zhang, Cong
作者机构:
[Chao, Han-Chieh; Liu, Yu; Zhang, Cong; Wang, Song] Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan, Hubei, Peoples R China.
[Hang, Bo] Hubei Univ Arts & Sci, Sch Comp Engn, Xiangyang, Peoples R China.
通讯机构:
[Zhang, Cong] W
Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan, Hubei, Peoples R China.
语种:
英文
关键词:
Audio;Attention computational model;Information entropy;Exponential moving average
期刊:
Human-centric Computing and Information Sciences
ISSN:
2192-1962
年:
2019
卷:
9
期:
1
页码:
1-16
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61272278]; Hubei provincial major science and technology projects [2018ABA099]; Natural Science Foundation of Hubei ProvinceNatural Science Foundation of Hubei Province [2018CFB408]; Hubei provincial education department science and technology research project [Q20181807]
机构署名:
本校为第一且通讯机构
院系归属:
数学与计算机学院
摘要:
The main down-top attention model usually uses some characteristics of audio signal to extract the auditory saliency map at present. But existing audio attention computational model based image saliency mostly doesn't consider the continuity and attenuation mechanism of the human brain on paying attention to some occurred events in our real environment. To address these issues, we propose a model based on information entropy of two channels and exponential moving average (EMA) to simulate the processing of sound signals from the basilar membrane to the cochlear nucleus, and get the local infor...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com