Music Genre Transfer
3 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Music Genre Transfer
Most implemented papers
Symbolic Music Genre Transfer with CycleGAN
sumuzhao/CycleGAN-Music-Style-Transfer
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In this paper we apply such a model to symbolic music and show the feasibility of our approach for music genre transfer.
Supervised Symbolic Music Style Translation Using Synthetic Data
Research on style transfer and domain translation has clearly demonstrated the ability of deep learning-based algorithms to manipulate images in terms of artistic style.
Groove2Groove: One-Shot Music Style Transfer with Supervision from Synthetic Data
cifkao/groove2groove
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IEEE/ACM Transactions on Audio, Speech, and Language Processing 2020
Style 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.
