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I. Deep Generative Modeling


[PMLR] [arXiv] [code]

SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization (ICML2022)



Regularizing Score-based Models with Score Fokker-Planck Equations (NeurIPS2022 Workshop on Score-Based Methods)

II. Music Technologies

Sound Separation


Music Source Separation with Deep Equilibrium Models (ICASSP22)

Sound Separation

[video] [site]

Glenn Gould and Kanji Ishimaru 2021: A collaboration with AI Sound Separation after 60 years


[site] [frontiers]

Music Demixing Challenge 2021

Singing Voice Vocoder

[arXiv] [demo]

Hierarchical Diffusion Models for Singing Voice Neural Vocoder

Singing Voice Conversion

[arXiv] [demo]

Robust One-Shot Singing Voice Conversion

Vocal Dereverberation

[arXiv] [demo]

Unsupervised Vocal Dereverberation with Diffusion-based Generative Models

Distortion Effect Removal

[poster] [arXiv] [demo]

Distortion Audio Effects: Learning How to Recover the Clean Signal (ISMIR22)

Music Transcription

[arXiv] [code] [demo]

DiffRoll: Diffusion-based Generative Music Transcription with Unsupervised Pretraining Capability

Automatic Music Mixing

[poster] [arXiv] [code] [demo]

Automatic Music Mixing with Deep Learning and Out-of-Domain Data (ISMIR22)

Mixing Style Transfer

[arXiv] [code] [demo]

Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects

Automatic DJ Transition

[arXiv] [code] [demo]

Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks (ICASSP22)