Papers Music Genre Transfer
“Music Genre Transfer” 태그가 달린 논문 4편 · 필터 해제
Tune It Up: Music Genre Transfer and Prediction
Deep generative models have been used in style transfer tasks for images. In this study, we adapt and improve CycleGAN model to perform music style transfer on Jazz and Classic genres. By doing so, we aim to easily gener…
Music Genre TransferMusic Style TransferPredictionStyle Transfer+1Groove2Groove: One-Shot Music Style Transfer with Supervision from Synthetic Data
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. Even though the task has interesting practical applications within the musi…
DecoderMusic Genre TransferMusic Style TransferStyle Transfer+1Supervised 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. More recently, several attempts have been made to …
DecoderMusic Genre TransferStyle TransferSynthetic Data Generation+1Symbolic Music Genre Transfer with CycleGAN
Deep generative models such as Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs) have recently been applied to style and domain transfer for images, and in the case of VAEs, music. GAN-based mode…
Music Genre TransferStyle Transfer