Music exerts a ubiquitous influence on human cultures and daily lives. Composing music is
deemed rather complicated because it involves various factors (eg, instruments, melodies …

This paper is about the story of my relationship, as a contemporary music composer, with
computational tools that are situated in the areas of signal processing, machine learning and …

Music has always been the most powerful medium to express human emotion and feeling
which sometimes mere words cannot express. As a result generating music using machine …

Develo** Virtual Synthesizers with VCV Rack takes the reader step by step through the
process of develo** synthesizer modules, beginning with the elementary and leading up …

In many sound synthesis applications, once the salient properties of a sound source are
defined, equalization is undertaken in order to fit it to the musical context. This is normally …

El objetivo planteado en el actual documento es proponer una metodología para clasificar
sonidos andinos a través de una herramienta que desarrolle Machine Learning. Para la …

We will implement the process of timbre transformation on large musical datasets consisting
of a variety of instruments, including non-traditional or non-Western instruments. We use …

ABSTRACT A lightweight algorithm for low latency timbre interpolation of two input audio
streams using an autoencoding neural network is presented. Short-time Fourier transform …

Biologically-inspired algorithms such as artificial neural networks have been used
extensively by computer music researchers, for generative music and algorithmic …