Differentiable digital signal processing (DDSP) techniques, including me...
The term "differentiable digital signal processing" describes a family o...
In this work, we propose a method for the controllable synthesis of real...
We discuss the discontinuities that arise when mapping unordered objects...
Semantic dimensions of sound have been playing a central role in
underst...
Physical models of rigid bodies are used for sound synthesis in applicat...
Sinusoidal parameter estimation is a fundamental task in applications fr...
This study explores the association between music preferences and moral
...
Imitating musical instruments with the human voice is an efficient way o...
Vocal Percussion Transcription (VPT) is concerned with the automatic
det...
The imitation of percussive sounds via the human voice is a natural and
...
This research project investigates the application of deep learning to t...
We present the Neural Waveshaping Unit (NEWT): a novel, lightweight, ful...
Music is an essential component in our everyday lives and experiences, a...
Convolutional Neural Networks have been extensively explored in the task...
In this study, we produce a geometrically scaled perceptual timbre space...
In this study, we aim to better understand the cognitive-emotional exper...