8 citations · 17 across the 9 of their papers we have counts for
4 papers · 1 filter
Zero-Shot Duet Singing Voices Separation with Diffusion Models
Chin-Yun Yu, Emilian Postolache, Emanuele Rodolà +1
In recent studies, diffusion models have shown promise as priors for solving audio inverse problems. These models allow us to sample from the posterior distribution of a target sig…
Fast Diffusion-GAN Model for Generating Symbolic Music with Emotions
Jincheng Zhang, György Fazekas, Charalampos Saitis
Diffusion models have shown promising results for a wide range of generative tasks with continuous data, such as image and audio synthesis. However, little progress has been made o…
Composer Style-specific Symbolic Music Generation Using Vector Quantized Discrete Diffusion Models
Jincheng Zhang, György Fazekas, Charalampos Saitis
Emerging Denoising Diffusion Probabilistic Models (DDPM) have become increasingly utilised because of promising results they have achieved in diverse generative tasks with continuo…
The Responsibility Problem in Neural Networks with Unordered Targets
Ben Hayes, Charalampos Saitis, György Fazekas
We discuss the discontinuities that arise when mapping unordered objects to neural network outputs of fixed permutation, referred to as the responsibility problem. Prior work has p…