版权说明 操作指南
首页 > 成果 > 详情

Motif Transformer: Generating Music with Motifs

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Wang, Heng;Hao, Sen;Zhang, Cong;Wang, Xiaohu;Chen, Yilin
通讯作者:
Hao, S.
作者机构:
[Hao, Sen; Wang, Heng; Wang, Xiaohu] Wuhan Polytechnic University, School of Mathematics and Computer, Wuhan, 430048, China
[Zhang, Cong] Wuhan Polytechnic University, School of Electrical and Electronic Engineering, Wuhan, 430048, China
[Chen, Yilin] Wuhan Institute of Technology, Hubei Key Laboratory of Intelligent Robot, Wuhan, 430073, China
通讯机构:
[Hao, S.] W
Wuhan Polytechnic University, China
语种:
英文
关键词:
Deep learning;music generation;recurrent neural network;transformer
期刊:
IEEE ACCESS
ISSN:
2169-3536
年:
2023
卷:
11
页码:
63197-63204
基金类别:
10.13039/501100001809-National Natural Science Foundation (Grant Number: 61401319 and 61272278) 10.13039/501100003819-Hubei Province Natural Science Foundation (Grant Number: 2014CFB270 and 2015CFA061) 10.13039/100012554-Hubei Provincial Department of Education Research Foundation (Grant Number: D20201601) Hubei Provincial Major Science and Technology Special Projects (Grant Number: 2018ABA099) 10.13039/501100008869-Hubei Key Laboratory of Intelligent Robot, Wuhan Institute of Technology (Grant Number: HBIR202101)
机构署名:
本校为第一且通讯机构
院系归属:
电气与电子工程学院
数学与计算机学院
摘要:
Music is composed of a set of regular sound waves, which are usually ordered and have a large number of repetitive structures. Important notes, chords, and music fragments often appear repeatedly. Such repeated fragments (referred to as motifs) are usually the soul of a song. However, most music generated by existing music generation methods can not have distinct motifs like real music. This study proposes a novel multi- encoders model called Motif Transformer to generate music containing more motifs. The model is constructed using an encoder-d...

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