Papers Music Style Transfer
“Music Style Transfer” 태그가 달린 논문 13편 · 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+1A Training-Free Approach for Music Style Transfer with Latent Diffusion Models
Music style transfer, while offering exciting possibilities for personalized music generation, often requires extensive training or detailed textual descriptions. This paper introduces a novel training-free approach leve…
Music GenerationMusic Style TransferStyle TransferEditing Music with Melody and Text: Using ControlNet for Diffusion Transformer
Despite the significant progress in controllable music generation and editing, challenges remain in the quality and length of generated music due to the use of Mel-spectrogram representations and UNet-based model structu…
Music GenerationMusic Style TransferStyle TransferText-to-Music GenerationA Dataset and Baselines for Measuring and Predicting the Music Piece Memorability
Nowadays, humans are constantly exposed to music, whether through voluntary streaming services or incidental encounters during commercial breaks. Despite the abundance of music, certain pieces remain more memorable and o…
Music RecommendationMusic Style TransferRecommendation SystemsStyle TransferMusic Style Transfer With Diffusion Model
Previous studies on music style transfer have mainly focused on one-to-one style conversion, which is relatively limited. When considering the conversion between multiple styles, previous methods required designing multi…
Audio GenerationmodelMusic Style TransferStyle TransferMsanii: High Fidelity Music Synthesis on a Shoestring Budget
In this paper, we present Msanii, a novel diffusion-based model for synthesizing long-context, high-fidelity music efficiently. Our model combines the expressiveness of mel spectrograms, the generative capabilities of di…
Audio inpaintingMusic GenerationMusic Style TransferVocal Bursts Intensity PredictionCan Machines Generate Personalized Music? A Hybrid Favorite-aware Method for User Preference Music Transfer
User preference music transfer (UPMT) is a new problem in music style transfer that can be applied to many scenarios but remains understudied.
Music Style TransferStyle TransferActions Speak Louder than Listening: Evaluating Music Style Transfer based on Editing Experience
The subjective evaluation of music generation techniques has been mostly done with questionnaire-based listening tests while ignoring the perspectives from music composition, arrangement, and soundtrack editing. In this …
Music GenerationMusic Style TransferStyle TransferDadaGP: A Dataset of Tokenized GuitarPro Songs for Sequence Models
Originating in the Renaissance and burgeoning in the digital era, tablatures are a commonly used music notation system which provides explicit representations of instrument fingerings rather than pitches. GuitarPro has e…
DecoderGenre classificationMusic GenerationMusic Style Transfer+1MuseMorphose: Full-Song and Fine-Grained Piano Music Style Transfer with One Transformer VAE
Transformers and variational autoencoders (VAE) have been extensively employed for symbolic (e.g., MIDI) domain music generation. While the former boast an impressive capability in modeling long sequences, the latter all…
DecoderMusic GenerationMusic Style TransferStyle TransferSelf-Supervised VQ-VAE for One-Shot Music Style Transfer
Neural style transfer, allowing to apply the artistic style of one image to another, has become one of the most widely showcased computer vision applications shortly after its introduction. In contrast, related tasks in …
Music Style TransferSelf-Supervised LearningStyle TransferGroove2Groove: 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+1MelGAN-VC: Voice Conversion and Audio Style Transfer on arbitrarily long samples using Spectrograms
Traditional voice conversion methods rely on parallel recordings of multiple speakers pronouncing the same sentences. For real-world applications however, parallel data is rarely available. We propose MelGAN-VC, a voice …
Generative Adversarial NetworkMusic Style TransferStyle TransferTranslation+1