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 …

Target-based computer-assisted orchestration can be thought of as the process of searching
for combinations of orchestral sounds in a database of sound samples to match a given …

In this paper we will perform a preliminary exploration on how neural networks can be used
for the task of target-based computerassisted musical orchestration. We will show how it is …

Musical orchestration is an empirical art form based on tradition and heritage whose lack of
formalism hinders the development of assisstive computational tools. Computer-aided …

In this paper, we study the possibility of adding source separation as a pre-processing step
to the computer-assisted orchestration process. We first discuss the motivation of this …

In this paper we will perform a preliminary exploration on how neural networks can be used
for the task of target-based computerassisted musical orchestration. We will show how it is …

We introduce a new method for generating text, and in particular song lyrics, based on the
speech-like acoustic qualities of a given audio file. We repurpose a vocal source separation …

This dissertation explores how machine learning and artificial intelligence can be applied
within music composition and production. My approach in this research stems from an …

N a classical combinatorial optimization setting, given an instance of a problem one needs
to find a good feasible solution. However, in many situations, the data may evolve over time …