Music Auto-Tagging

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 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

4 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

15 shown of 15 papers with code (22 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.

• Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms
  6 Mar 2017 3 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 2 pointer-only (licence)
  Recently, the end-to-end approach that learns hierarchical representations from raw data using deep convolutional neural networks has been successfully explored in the image, text and speech domains.
• M2D2: Exploring General-purpose Audio-Language Representations Beyond CLAP
  28 Mar 2025 2 repositories listed
  In the second stage, it learns CLAP features using the audio features learned from the LLM-based embeddings.
• Pre-training Music Classification Models via Music Source Separation
  24 Oct 2023 2 repositories listed
  In this paper, we study whether music source separation can be used as a pre-training strategy for music representation learning, targeted at music classification tasks.
• Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram Features
  17 Oct 2021 2 repositories listed
  Along with the evolution of music technology, a large number of styles, or "subgenres," of Electronic Dance Music(EDM) have emerged in recent years.
• Deep Content-User Embedding Model for Music Recommendation
  18 Jul 2018 2 repositories listed
  Recently deep learning based recommendation systems have been actively explored to solve the cold-start problem using a hybrid approach.
• Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms
  28 Oct 2017 2 repositories listed
  Recent work has shown that the end-to-end approach using convolutional neural network (CNN) is effective in various types of machine learning tasks.
• Semantic-Aware Interpretable Multimodal Music Auto-Tagging
  22 May 2025 1 repository listed
  Music auto-tagging is essential for organizing and discovering music in extensive digital libraries.
• Masked Latent Prediction and Classification for Self-Supervised Audio Representation Learning
  17 Feb 2025 1 repository listed
  Therefore, we propose a new method: MAsked latenT Prediction And Classification (MATPAC), which is trained with two pretext tasks solved jointly.
• Parameter-Efficient Transfer Learning for Music Foundation Models
  28 Nov 2024 1 repository listed
  Common ways of adapting music foundation models to downstream tasks are probing and fine-tuning.
• Audio Embeddings as Teachers for Music Classification
  30 Jun 2023 1 repository listed
  Music classification has been one of the most popular tasks in the field of music information retrieval.
• Multi-Source Contrastive Learning from Musical Audio
  14 Feb 2023 1 repository listed
  Contrastive learning constitutes an emerging branch of self-supervised learning that leverages large amounts of unlabeled data, by learning a latent space, where pairs of different views of the same sample are…
• Contrastive Learning of Musical Representations
  17 Mar 2021 1 repository listed
  A linear classifier trained on the proposed representations achieves a higher average precision than supervised models on the MagnaTagATune dataset, and performs comparably on the Million Song dataset.
• TräumerAI: Dreaming Music with StyleGAN
  9 Feb 2021 1 repository listed
  The goal of this paper to generate a visually appealing video that responds to music with a neural network so that each frame of the video reflects the musical characteristics of the corresponding audio clip.
• Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging
  6 Mar 2017 1 repository listed
  Second, we extract audio features from each layer of the pre-trained convolutional networks separately and aggregate them altogether given a long audio clip.
• A Deep Bag-of-Features Model for Music Auto-Tagging
  20 Aug 2015 1 repository listed
  Feature learning and deep learning have drawn great attention in recent years as a way of transforming input data into more effective representations using learning algorithms.

Syntology lines on 1 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.