Pith. sign in

REVIEW 2 cited by

Automatic Analysis and Influence of Hierarchical Structure on Melody, Rhythm and Harmony in Popular Music

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2010.07518 v1 pith:BPNOL7QU submitted 2020-10-15 cs.SD eess.AS

Shuqi Dai , Huan Zhang , Roger B. Dannenberg This is my paper · ORCID
classification cs.SDeess.AS
keywords musicrepetitionstructurehierarchicalhierarchymelodymusicalphrases
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

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 yielding a two-level hierarchical structure. Automatically detected hierarchical repetition structures reveal significant interactions between structure and chord progressions, melody and rhythm. Different levels of hierarchy interact differently, providing evidence that structural hierarchy plays an important role in music beyond simple notions of repetition or similarity. Our work suggests new applications for music generation and music evaluation.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Helping Music Co-Creation Agents 'Listen' Well: Hierarchical Self-Supervised World Models for Understanding and Generation

    cs.SD 2026-08 conditional novelty 6.0 of 10

    A hierarchical self-supervised encoder on piano-roll images learns musical structure at different time scales, and a flow-matching decoder generates variations and inpaints gaps on CPU.

  2. CompLex: Music Theory Lexicon Constructed by Autonomous Agents for Automatic Music Generation

    cs.SD 2025-08 conditional novelty 6.0 of 10

    A multi-agent LLM pipeline autonomously constructs a music theory lexicon that, when used to enrich prompts, improves text-to-music generation across symbolic and audio models.

Pith tools