Music Genre Recognition

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

6 shown of 6 papers with code (10 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Learning to Recognize Musical Genre from Audio
  13 Mar 2018 5 repositories listed Syntology ran 3 of 13 samples · 10 unverified
  We here summarize our experience running a challenge with open data for musical genre recognition.
• Learning Discrete Structures for Graph Neural Networks
  28 Mar 2019 2 repositories listed Syntology ran 0 of 2 samples · 2 unverified · 2 pointer-only (licence)
  With this work, we propose to jointly learn the graph structure and the parameters of graph convolutional networks (GCNs) by approximately solving a bilevel program that learns a discrete probability distribution on the…
• Wasserstein Barycenter for Multi-Source Domain Adaptation
  19 Jun 2021 1 repository listed
  To overcome the challenges posed by this learning scenario, we propose a method for constructing an intermediate domain between sources and target domain, the Wasserstein Barycenter Transport (WBT).
• Client-driven Animated GIF Generation Framework Using an Acoustic Feature
  12 Feb 2021 1 repository listed
  The proposed method retrieves and uses the audio file and video segment so that communication and storage efficiencies are improved in the GIF generation process.
• Machine learning and chord based feature engineering for genre prediction in popular Brazilian music
  8 Feb 2019 1 repository listed
  We found that features extracted from harmonic elements can satisfactorily predict music genre for the Brazilian case, as well as features obtained from the Spotify API.
• Bottom-up Broadcast Neural Network For Music Genre Classification
  24 Jan 2019 1 repository listed
  Music genre recognition based on visual representation has been successfully explored over the last years.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.