52 citations · 104 across the 8 of their papers we have counts for
8 papers
Everyone-Can-Sing: Zero-Shot Singing Voice Synthesis and Conversion with Speech Reference
Shuqi Dai, Yunyun Wang, Roger B. Dannenberg +1
We propose a unified framework for Singing Voice Synthesis (SVS) and Conversion (SVC), addressing the limitations of existing approaches in cross-domain SVS/SVC, poor output musica…
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…
What is missing in deep music generation? A study of repetition and structure in popular music
Shuqi Dai, Huiran Yu, Roger B. Dannenberg
Structure is one of the most essential aspects of music, and music structure is commonly indicated through repetition. However, the nature of repetition and structure in music is s…
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…
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…
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…
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…
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…