Music Classification

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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

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

Subtasks archive 2025-07-28

2 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

23 shown of 23 papers with code (52 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.

• Convolutional Recurrent Neural Networks for Music Classification
  14 Sep 2016 13 repositories listed
  We introduce a convolutional recurrent neural network (CRNN) for music tagging.
• Toward Universal Text-to-Music Retrieval
  26 Nov 2022 3 repositories listed
  This paper introduces effective design choices for text-to-music retrieval systems.
• Transfer learning for music classification and regression tasks
  27 Mar 2017 3 repositories listed Syntology ran 1 of 3 samples · 2 unverified · 3 pointer-only (licence)
  In this paper, we present a transfer learning approach for music classification and regression tasks.
• 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.
• CLaMP: Contrastive Language-Music Pre-training for Cross-Modal Symbolic Music Information Retrieval
  21 Apr 2023 2 repositories listed
  We introduce CLaMP: Contrastive Language-Music Pre-training, which learns cross-modal representations between natural language and symbolic music using a music encoder and a text encoder trained jointly with a…
• Word-level Embeddings for Cross-Task Transfer Learning in Speech Processing
  22 Oct 2019 2 repositories listed
  Recent breakthroughs in deep learning often rely on representation learning and knowledge transfer.
• Moonbeam: A MIDI Foundation Model Using Both Absolute and Relative Music Attributes
  21 May 2025 1 repository listed Syntology ran 3 of 11 samples · 8 unverified
  Moonbeam is a transformer-based foundation model for symbolic music, pretrained on a large and diverse collection of MIDI data totaling 81.
• CLaMP 2: Multimodal Music Information Retrieval Across 101 Languages Using Large Language Models
  17 Oct 2024 1 repository listed
  Challenges in managing linguistic diversity and integrating various musical modalities are faced by current music information retrieval systems.
• MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models
  18 Oct 2023 1 repository listed
  For developers and amateurs, it is very difficult to grasp all of these task to satisfy their requirements in music processing, especially considering the huge differences in the representations of music data and the…
• 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.
• Symbolic Music Structure Analysis with Graph Representations and Changepoint Detection Methods
  24 Mar 2023 1 repository listed
  In the past, there have been several works that attempt to segment music into the audio and symbolic domains, however, the identification and segmentation of the music structure at different levels is still an open…
• Low-Resource Music Genre Classification with Cross-Modal Neural Model Reprogramming
  2 Nov 2022 1 repository listed
  In this work, we introduce a novel method for leveraging pre-trained models for low-resource (music) classification based on the concept of Neural Model Reprogramming (NMR).
• S3T: Self-Supervised Pre-training with Swin Transformer for Music Classification
  21 Feb 2022 1 repository listed
  To our knowledge, S3T is the first method combining the Swin Transformer with a self-supervised learning method for music classification.
• Music Classification: Beyond Supervised Learning, Towards Real-world Applications
  23 Nov 2021 1 repository listed
  The target audience for this web book is researchers and practitioners who are interested in state-of-the-art music classification research and building real-world applications.
• BERT-like Pre-training for Symbolic Piano Music Classification Tasks
  12 Jul 2021 1 repository listed
  This article presents a benchmark study of symbolic piano music classification using the masked language modelling approach of the Bidirectional Encoder Representations from Transformers (BERT).
• Exploring modality-agnostic representations for music classification
  2 Jun 2021 1 repository listed
  We train music instrument classifiers that can take both images or sounds as input, and perform comparably to sound-only or image-only classifiers.
• 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.
• Receptive-Field Regularized CNNs for Music Classification and Tagging
  27 Jul 2020 1 repository listed
  However, the MIR field is still dominated by the classical VGG-based CNN architecture variants, often in combination with more complex modules such as attention, and/or techniques such as pre-training on large datasets.
• Zero-shot Learning for Audio-based Music Classification and Tagging
  5 Jul 2019 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Audio-based music classification and tagging is typically based on categorical supervised learning with a fixed set of labels.
• Multi-Level and Multi-Scale Feature Aggregation Using Sample-level Deep Convolutional Neural Networks for Music Classification
  21 Jun 2017 1 repository listed
  Music tag words that describe music audio by text have different levels of abstraction.
• Explaining Deep Convolutional Neural Networks on Music Classification
  8 Jul 2016 1 repository listed
  Deep convolutional neural networks (CNNs) have been actively adopted in the field of music information retrieval, e.

Syntology lines on 4 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.