Music Score Expansion with Variable-Length Infilling
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Abstract (arXiv)
In this paper, we investigate using the variable-length infilling (VLI) model, which is originally proposed to infill missing segments, to "prolong" existing musical segments at musical boundaries. Specifically, as a case study, we expand 20 musical segments from 12 bars to 16 bars, and examine the degree to which the VLI model preserves musical boundaries in the expanded results using a few objective metrics, including the Register Histogram Similarity we newly propose. The results show that the VLI model has the potential to address the expansion task.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 3 of its 4 references that are in the map. First posted on arXiv 11 Nov 2021.
Builds on
3 of 4 references.
References · 3
- 2021Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphscited by 110
- 2020The Jazz Transformer on the Front Line: Exploring the Shortcomings of AI-composed Music through Quantitative Measurescited by 53
- 2021Variable-Length Music Score Infilling via XLNet and Musically Specialized Positional Encodingcited by 14
Built on by
Citing papers per year: 2022: 1; 2023: 1.
2 papers.
- 2023Anticipatory Music Transformercited by 36
- 2022Melody Infilling with User-Provided Structural Contextcited by 4
- 2023Anticipatory Music Transformer14 Jun 2023
- 2022Melody Infilling with User-Provided Structural Context6 Oct 2022