Why Perturbing Symbolic Music is Necessary: Fitting the Distribution of Never-used Notes through a Joint Probabilistic Diffusion Model

4 August 2024

Papers citing "Why Perturbing Symbolic Music is Necessary: Fitting the Distribution of Never-used Notes through a Joint Probabilistic Diffusion Model"

4 / 4 papers shown

Title
Discrete Diffusion Probabilistic Models for Symbolic Music Generation Matthias Plasser S. Peter Gerhard Widmer DiffM MGen 23 5 0 16 May 2023
DiffRoll: Diffusion-based Generative Music Transcription with Unsupervised Pretraining Capability K. Cheuk Ryosuke Sawata Toshimitsu Uesaka Naoki Murata Naoya Takahashi Shusuke Takahashi Dorien Herremans Yuki Mitsufuji DiffM 34 16 0 11 Oct 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 163 768 0 27 May 2022
Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs Wen-Yi Hsiao Jen-Yu Liu Yin-Cheng Yeh Yi-Hsuan Yang 73 179 0 07 Jan 2021