mlsanityData to 14 Oct 2026

Music Score Expansion with Variable-Length Infilling

arXiv 2111.06046 ↗First posted 11 Nov 2021cs.SD cs.AI eess.AScited by 2

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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

  1. 2021Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphscited by 110
  2. 2020The Jazz Transformer on the Front Line: Exploring the Shortcomings of AI-composed Music through Quantitative Measurescited by 53
  3. 2021Variable-Length Music Score Infilling via XLNet and Musically Specialized Positional Encodingcited by 14

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Citing papers per year: 2022: 1; 2023: 1.

2 papers.