Effective music mixing requires technical and creative finesse, but clea...
The term "differentiable digital signal processing" describes a family o...
This paper introduces GlOttal-flow LPC Filter (GOLF), a novel method for...
We discuss the discontinuities that arise when mapping unordered objects...
Musical professionals who produce material for non-musical stakeholders ...
Computer musicians refer to mesostructures as the intermediate levels of...
Recently, diffusion models (DMs) have been increasingly used in audio
pr...
Physical models of rigid bodies are used for sound synthesis in applicat...
Sinusoidal parameter estimation is a fundamental task in applications fr...
As one of the most intuitive interfaces known to humans, natural languag...
Sound-shape associations, a subset of cross-modal associations between t...
Audio representations for music information retrieval are typically lear...
Music Performers have their own idiosyncratic way of interpreting a musi...
The main challenges of Optical Music Recognition (OMR) come from the nat...
Sound synthesiser controls typically correspond to technical parameters ...
We present the Neural Waveshaping Unit (NEWT): a novel, lightweight, ful...
Convolutional Neural Networks have been extensively explored in the task...
Content-based music information retrieval has seen rapid progress with t...
Detecting piano pedalling techniques in polyphonic music remains a
chall...
Optical Music Recognition (OMR) is concerned with transcribing sheet mus...
In recent years, Markov logic networks (MLNs) have been proposed as a
po...
In this paper, a siamese DNN model is proposed to learn the characterist...
Following their success in Computer Vision and other areas, deep learnin...
In this paper, we present a transfer learning approach for music
classif...