Browse State-of-the-Art › Music Genre Classification
Music Genre Classification
25 papers with code · 0 benchmarks · 2 datasets archive 2025-07-28
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
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
25 shown of 25 papers with code (56 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.
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28 Mar 2025 2 repositories listedIn the second stage, it learns CLAP features using the audio features learned from the LLM-based embeddings.
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24 Oct 2023 2 repositories listedIn 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.
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26 Oct 2022 2 repositories listedThe QCNN is a circuit model inspired by the architecture of Convolutional Neural Networks (CNNs).
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17 Oct 2021 2 repositories listedAlong with the evolution of music technology, a large number of styles, or "subgenres," of Electronic Dance Music(EDM) have emerged in recent years.
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28 May 2019 2 repositories listedIn this paper, we evaluate the impact of frame selection on automatic music genre classification in a bag of frames scenario.
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27 Feb 2018 2 repositories listedHere, we propose a new method that combines knowledge of human perception study in music genre classification and the neurophysiology of the auditory system.
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22 Dec 2017 2 repositories listedDeep learning has been demonstrated its effectiveness and efficiency in music genre classification.
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17 Feb 2025 1 repository listedTherefore, we propose a new method: MAsked latenT Prediction And Classification (MATPAC), which is trained with two pretext tasks solved jointly.
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10 Oct 2024 1 repository listedThe proposed approach splits audio signals into 20 ms chunks and processes them through convolutional feature encoders, a transformer encoder, and additional layers for coding audio units and generating feature vectors.
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14 Feb 2023 1 repository listedContrastive 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…
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Effective Audio Classification Network Based on Paired Inverse Pyramid Structure and Dense MLP Block5 Nov 2022 1 repository listedRecently, massive architectures based on Convolutional Neural Network (CNN) and self-attention mechanisms have become necessary for audio classification.
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4 Nov 2022 1 repository listedTo overcome these limitations, the present study explores and applies efficient transfer learning methods in the audio domain.
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2 Nov 2022 1 repository listedIn 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).
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26 Oct 2022 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)We propose a new method, Masked Modeling Duo (M2D), that learns representations directly while obtaining training signals using only masked patches.
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9 Sep 2022 1 repository listedImbalanced music genre classification is a crucial task in the Music Information Retrieval (MIR) field for identifying the long-tail, data-poor genre based on the related music audio segments, which is very prevalent in…
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25 Aug 2022 1 repository listedDue to the increased demand for music streaming/recommender services and the recent developments of music information retrieval frameworks, Music Genre Classification (MGC) has attracted the community's attention.
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27 Jun 2022 1 repository listedIn this work, we investigate the uncertainty calibration for deep audio classifiers.
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21 Feb 2022 1 repository listedTo our knowledge, S3T is the first method combining the Swin Transformer with a self-supervised learning method for music classification.
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18 Sep 2021 1 repository listedFirst, an input music signal is divided into a number of fixed-duration (3 seconds in this study) music clips, and the raw waveform of each music clip is fed into 1D MS-SincNet filter learning module to obtain…
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12 Jul 2021 1 repository listed Syntology ran 3 of 3 samples · 0 unverifiedRelative to representations from conventional MIR models which are pre-trained on tagging, we find that using representations from Jukebox as input features yields 30% stronger performance on average across four MIR…
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28 Nov 2019 1 repository listedMusic genre classification is one of the sub-disciplines of music information retrieval (MIR) with growing popularity among researchers, mainly due to the already open challenges.
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24 Jan 2019 1 repository listedMusic genre recognition based on visual representation has been successfully explored over the last years.
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18 Feb 2018 1 repository listedMCLNN has achieved accuracies that are competitive to state-of-the-art handcrafted attempts in addition to models based on Convolutional Neural Networks.
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16 Jul 2017 1 repository listedMusic genres allow to categorize musical items that share common characteristics.
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15 Jul 2017 1 repository listedIn this study we apply recurrent neural network models to classify a large dataset of intact song lyrics.
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.
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