7 citations · 28 across the 17 of their papers we have counts for
Showing 2024 · cs.SDShow all
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cs.SD2024
Diff-A-Riff: Musical Accompaniment Co-creation via Latent Diffusion Models
Javier Nistal, Marco Pasini, Cyran Aouameur +2
Recent advancements in deep generative models present new opportunities for music production but also pose challenges, such as high computational demands and limited audio quality.…
cs.SD2024
Measuring Audio Prompt Adherence with Distribution-based Embedding Distances
Maarten Grachten
An increasing number of generative music models can be conditioned on an audio prompt that serves as musical context for which the model is to create an accompaniment (often furthe…
cs.SD2024
Bass Accompaniment Generation via Latent Diffusion
Marco Pasini, Maarten Grachten, Stefan Lattner
The ability to automatically generate music that appropriately matches an arbitrary input track is a challenging task. We present a novel controllable system for generating single…