This paper has two different aims: presenting the problem of target-based computer-assisted
orchestration and introducing a new computational framework to solve it, called Orchidea …

Perceptual sound matching (PSM) aims to find the input parameters to a synthesizer so as to
best imitate an audio target. Deep learning for PSM optimizes a neural network to analyze …

In this paper we present an approach for transfer learning with deep neural embeddings
applied to a selection of music information retrieval (MIR) classification tasks with several …

The characterization of the musical timbre, which allows the quantitative evaluation of
audios, is still an open-ended research topic. This paper evaluates a set of dimensionless …

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 …

Contemporary orchestration practice harbours a number of aesthetic inquiries relating to the
employment and arrangement of percussion instruments. Due in part to the fact that …

In this work, we demonstrate a variational autoencoder designed to reconstruct drum
samples using linear combinations from a small predefined library of existing samples …