7 citations · 18 across the 8 of their papers we have counts for
15 papers · 1 filter
Methods for pitch analysis in contemporary popular music: multiple pitches from harmonic tones in Vitalic's music
Emmanuel Deruty, David Meredith, Maarten Grachten +5
Aims. This study suggests that the use of multiple perceived pitches arising from a single harmonic complex tone is an active and intentional feature of contemporary popular music.…
Insights on Harmonic Tones from a Generative Music Experiment
Emmanuel Deruty, Maarten Grachten
The ultimate purpose of generative music AI is music production. The studio-lab, a social form within the art-science branch of cross-disciplinarity, is a way to advance music prod…
Accompaniment Prompt Adherence: A Measure for Evaluating Music Accompaniment Systems
Maarten Grachten, Javier Nistal
Generative systems of musical accompaniments are rapidly growing, yet there are no standardized metrics to evaluate how well generations align with the conditional audio prompt. We…
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.…
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…
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…