Segui
Shuqi Dai
Titolo
Citata da
Citata da
Anno
Pop909: A pop-song dataset for music arrangement generation
Z Wang, K Chen, J Jiang, Y Zhang, M Xu, S Dai, X Gu, G Xia
arXiv preprint arXiv:2008.07142, 2020
1612020
Music Style Transfer: A Position Paper
S Dai, Z Zhang, G Xia
arXiv preprint arXiv:1803.06841, 2018
832018
Controllable deep melody generation via hierarchical music structure representation
S Dai, Z Jin, C Gomes, RB Dannenberg
arXiv preprint arXiv:2109.00663, 2021
672021
Personalised popular music generation using imitation and structure
S Dai, X Ma, Y Wang, RB Dannenberg
Journal of New Music Research 51 (1), 69-85, 2022
282022
Automatic analysis and influence of hierarchical structure on melody, rhythm and harmony in popular music
S Dai, H Zhang, RB Dannenberg
arXiv preprint arXiv:2010.07518, 2020
282020
What is missing in deep music generation? a study of repetition and structure in popular music
S Dai, H Yu, RB Dannenberg
arXiv preprint arXiv:2209.00182, 2022
232022
Foundation models for music: A survey
Y Ma, A Øland, A Ragni, BMS Del Sette, C Saitis, C Donahue, C Lin, ...
arXiv preprint arXiv:2408.14340, 2024
122024
SingStyle111: A Multilingual Singing Dataset With Style Transfer.
S Dai, Y Wu, S Chen, R Huang, RB Dannenberg
ISMIR, 765-773, 2023
92023
The Interconnections of Music Structure, Harmony, Melody, Rhythm, and Predictivity
S Dai, H Zhang, RB Dannenberg
Music & Science 7, 20592043241234758, 2024
42024
Music style transfer issues: A position paper, March 2018
S Dai, Z Zhang, GG Xia
arXiv preprint arXiv:1803.06841, 0
4
Expressivesinger: Multilingual and multi-style score-based singing voice synthesis with expressive performance control
S Dai, MY Liu, R Valle, S Gururani
Proceedings of the 32nd ACM International Conference on Multimedia, 3229-3238, 2024
32024
Everyone-Can-Sing: Zero-Shot Singing Voice Synthesis and Conversion with Speech Reference
S Dai, Y Wang, RB Dannenberg, Z Jin
arXiv preprint arXiv:2501.13870, 2025
2025
Towards Artificial Musicians: Modeling Style for Music Composition, Performance, and Synthesis via Machine Learning
S Dai
Stanford University, 2023
2023
Relating Human Perception of Musicality to Prediction in a Predictive Coding Model
N McNeal, J Huang, A Umoren, S Dai, R Dannenberg, R Randall, TS Lee
arXiv preprint arXiv:2210.16587, 2022
2022
Automatic Detection of Hierarchical Structure and Influence of Structure on Melody, Harmony and Rhythm in Popular Music
S Dai, H Zhang, RB Dannenberg
COMPUTATIONAL MODELS AND MUSIC XML DEFINITION FOR COMMON PIPA TECHNIQUES
S Dai, GG Xia
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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