activity
20182022
most citedPOP909: A Pop-song Dataset for Music Arrangement Generation

52 citations · 65 across the 3 of their papers we have counts for

collaborators

6 papers

cs.SD2022

Relating Human Perception of Musicality to Prediction in a Predictive Coding Model

Nikolas McNeal, Jennifer Huang, Aniekan Umoren +4

We explore the use of a neural network inspired by predictive coding for modeling human music perception. This network was developed based on the computational neuroscience theory…

cs.SD202113 cited

Controllable deep melody generation via hierarchical music structure representation

Shuqi Dai, Zeyu Jin, Celso Gomes +1

Recent advances in deep learning have expanded possibilities to generate music, but generating a customizable full piece of music with consistent long-term structure remains a chal…

cs.SD2021

Personalized Popular Music Generation Using Imitation and Structure

Shuqi Dai, Xichu Ma, Ye Wang +1

Many practices have been presented in music generation recently. While stylistic music generation using deep learning techniques has became the main stream, these models still stru…

cs.SD2020

Automatic Analysis and Influence of Hierarchical Structure on Melody, Rhythm and Harmony in Popular Music

Shuqi Dai, Huan Zhang, Roger B. Dannenberg

Repetition is a basic indicator of musical structure. This study introduces new algorithms for identifying musical phrases based on repetition. Phrases combine to form sections yie…

cs.SD202052 cited

POP909: A Pop-song Dataset for Music Arrangement Generation

Ziyu Wang, Ke Chen, Junyan Jiang +5

Music arrangement generation is a subtask of automatic music generation, which involves reconstructing and re-conceptualizing a piece with new compositional techniques. Such a gene…

cs.SD2018

Music Style Transfer: A Position Paper

Shuqi Dai, Zheng Zhang, Gus G. Xia

Led by the success of neural style transfer on visual arts, there has been a rising trend very recently in the effort of music style transfer. However, "music style" is not yet a w…