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Article
AccoMontage2: A Complete Harmonization and Accompaniment Arrangement System
arXiv
  • Li Yi, Music X Lab, NYU Shanghai, China & Mohamed bin Zayed University of Artificial Intelligence
  • Haochen Hu, Music X Lab, NYU Shanghai, China & Mohamed bin Zayed University of Artificial Intelligence
  • Jingwei Zhao, Institute of Data Science, Nus, Singapore
  • Gus Xia, Music X Lab, NYU Shanghai, China & Mohamed bin Zayed University of Artificial Intelligence
Document Type
Article
Abstract

We propose AccoMontage2, a system capable of doing full-length song harmonization and accompaniment arrangement based on a lead melody. Following AccoMontage, this study focuses on generating piano arrangements for popular/folk songs and it carries on the generalized template-based retrieval method. The novelties of this study are twofold. First, we invent a harmonization module (which AccoMontage does not have). This module generates structured and coherent full-length chord progression by optimizing and balancing three loss terms: a micro-level loss for note-wise dissonance, a meso-level loss for phrase-template matching, and a macro-level loss for full piece coherency. Second, we develop a graphical user interface which allows users to select different styles of chord progression and piano texture. Currently, chord progression styles include Pop, R&B, and Dark, while piano texture styles include several levels of voicing density and rhythmic complexity. Experimental results show that both our harmonization and arrangement results significantly outperform the baselines. Lastly, we release AccoMontage2 as an online application as well as the organized chord progression templates as a public dataset. © 2022, CC BY.

DOI
10.48550/arXiv.2209.00353
Publication Date
9-1-2022
Keywords
  • Graphical user interfaces,
  • Template matching
Comments

Preprint: arXiv

Archived with thanks to arXiv

Preprint License: CC by 4.0

Uploaded 31 October 2022

Citation Information
L. Yi, H. Hu, J. Zhao, and G. Xia, "AccoMontage2: A Complete Harmonization and Accompaniment Arrangement System", 2022, doi:10.48550/arXiv.2209.00353