Affiliation of Author(s):Computer School
Journal:Applied Intelligence
Place of Publication:https://www.springer.com/10489
Abstract:Arranging and orchestration are critical aspects of music composition and production. Traditional accompaniment arranging is time-consuming and requires expertise in music theory. In this work, we utilize a deep learning model, the flow model, to generate music accompaniment including drums, guitar, bass, and strings based on the input piano melody, which can assist musicians in creating popular music. The main contributions of this paper are as follows: 1) We propose a new pianoroll representation that solves the problem of recognizing the onset of a musical note and saves space. 2) We introd
Note:The full-text of this paper can be found: https://rdcu.be/dgak2
Indexed by:Journal paper
First Author:Fanyu Ding
Correspondence Author:Yidong Cui
Discipline:交叉学科
Document Type:J
ISSN No.:0924-669X
Translation or Not:no
Date of Publication:2023-07-06
Included Journals:SCI
Links to published journals:https://rdcu.be/dgak2