Browse State-of-the-Art › Music Style Transfer
Music Style Transfer
10 papers with code · 0 benchmarks · 3 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
3 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
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Most implemented papers archive 2025-07-28
10 shown of 10 papers with code (13 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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8 Oct 2019 2 repositories listedWe propose MelGAN-VC, a voice conversion method that relies on non-parallel speech data and is able to convert audio signals of arbitrary length from a source voice to a target voice.
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27 Mar 2025 1 repository listedIn this study, we adapt and improve CycleGAN model to perform music style transfer on Jazz and Classic genres.
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21 May 2024 1 repository listedDespite the abundance of music, certain pieces remain more memorable and often gain greater popularity.
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16 Jan 2023 1 repository listed Syntology ran 0 of 6 samples · 6 unverifiedIn this paper, we present Msanii, a novel diffusion-based model for synthesizing long-context, high-fidelity music efficiently.
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21 Jan 2022 1 repository listedUser preference music transfer (UPMT) is a new problem in music style transfer that can be applied to many scenarios but remains understudied.
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25 Oct 2021 1 repository listedIn this paper, we propose an editing test to evaluate users' editing experience of music generation models in a systematic way.
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30 Jul 2021 1 repository listedIn this work, we present DadaGP, a new symbolic music dataset comprising 26, 181 song scores in the GuitarPro format covering 739 musical genres, along with an accompanying tokenized format well-suited for generative…
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10 May 2021 1 repository listed Syntology ran 3 of 3 samples · 0 unverifiedTransformers and variational autoencoders (VAE) have been extensively employed for symbolic (e.
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10 Feb 2021 1 repository listedWhile several style conversion methods tailored to musical signals have been proposed, most lack the 'one-shot' capability of classical image style transfer algorithms.
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26 Aug 2020 1 repository listedStyle transfer is the process of changing the style of an image, video, audio clip or musical piece so as to match the style of a given example.
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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