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Can Machines Generate Personalized Music? A Hybrid Favorite-aware Method for User Preference Music Transfer

arXiv 2201.08526 ↗First posted 21 Jan 2022cs.SD cs.AI eess.AScited by 0

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Abstract (arXiv)

User preference music transfer (UPMT) is a new problem in music style transfer that can be applied to many scenarios but remains understudied.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 25 of its 48 references that are in the map. First posted on arXiv 21 Jan 2022.

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25 of 48 references.

References · 25

  1. 2017Attention Is All You Needcited by 59,932
  2. 2019Transformer-XL: Attentive Language Models Beyond a Fixed-Length Contextcited by 1,830
  3. 2015A Neural Algorithm of Artistic Stylecited by 480
  4. 2017Neural Style Transfer: A Reviewcited by 199
  5. 2018Arbitrary Style Transfer with Style-Attentional Networkscited by 197
  6. 2019Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoningcited by 149
  7. 2017Logic Tensor Networks for Semantic Image Interpretationcited by 92
  8. 2020PopMAG: Pop Music Accompaniment Generationcited by 68
  9. 2019One-Shot Object Detection with Co-Attention and Co-Excitationcited by 67
  10. 2016The More You Know: Using Knowledge Graphs for Image Classificationcited by 63
  11. 2019LakhNES: Improving multi-instrumental music generation with cross-domain pre-trainingcited by 54
  12. 2019Encoding Musical Style with Transformer Autoencoderscited by 35
13 more
  1. 2018MIDI-VAE: Modeling Dynamics and Instrumentation of Music with Applications to Style Transfercited by 33
  2. 2018TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfercited by 32
  3. 2019Deep Music Analogy Via Latent Representation Disentanglementcited by 31
  4. 2018Symbolic Music Genre Transfer with CycleGANcited by 28
  5. 2018A Universal Music Translation Networkcited by 22
  6. 2019A Bi-directional Transformer for Musical Chord Recognitioncited by 19
  7. 2018Music Style Transfer: A Position Papercited by 16
  8. 2019MelGAN-VC: Voice Conversion and Audio Style Transfer on arbitrarily long samples using Spectrogramscited by 12
  9. 2018Play as You Like: Timbre-enhanced Multi-modal Music Style Transfercited by 11
  10. 2019Musical Composition Style Transfer via Disentangled Timbre Representationscited by 11
  11. 2019Inspecting and Interacting with Meaningful Music Representations using VAEcited by 4
  12. 2017Neural Translation of Musical Stylecited by 2
  13. 2020Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generationcited by 2

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