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From the 2 of 5 linked papers with an AI index.

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20242026
most citedMethods for pitch analysis in contemporary popular music: multiple pitches from harmonic tones in Vitalic's music

1 citations · 1 across the 2 of their papers we have counts for

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5 papers

cs.SD20261 cited

Methods for pitch analysis in contemporary popular music: multiple pitches from harmonic tones in Vitalic's music

Emmanuel Deruty, David Meredith, Maarten Grachten +5

The paper investigates how listeners perceive multiple simultaneous pitches from single harmonic tones in contemporary electronic music, using listening tests and pitch transcripti…

cs.SD2026

Insights on Harmonic Tones from a Generative Music Experiment

Emmanuel Deruty, Maarten Grachten

The paper reports a studio‑lab experiment where an AI model generating bass‑like audio produced harmonic complex tones that convey multiple pitches, revealing that the model can cr…

cs.SD2025

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…

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

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.…