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2016 | OriginalPaper | Chapter

Computer-Aided Musical Orchestration Using an Artificial Immune System

Authors : José Abreu, Marcelo Caetano, Rui Penha

Published in: Evolutionary and Biologically Inspired Music, Sound, Art and Design

Publisher: Springer International Publishing

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Abstract

The aim of computer-aided musical orchestration is to find a combination of musical instrument sounds that approximates a target sound. The difficulty arises from the complexity of timbre perception and the combinatorial explosion of all possible instrument mixtures. The estimation of perceptual similarities between sounds requires a model capable of capturing the multidimensional perception of timbre, among other perceptual qualities of sounds. In this work, we use an artificial immune system (AIS) called opt-aiNet to search for combinations of musical instrument sounds that minimize the distance to a target sound encoded in a fitness function. Opt-aiNet is capable of finding multiple solutions in parallel while preserving diversity, proposing alternative orchestrations for the same target sound that are different among themselves. We performed a listening test to evaluate the subjective similarity and diversity of the orchestrations.

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next chapter Evolving Atomic Aesthetics and Dynamics
Footnotes
2
Access http://​goo.​gl/​weHaHI to see the test and listen to the sounds.
 
3
Access http://​goo.​gl/​4l9NqX to listen to the target sounds and results.
 
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Metadata
Title
Computer-Aided Musical Orchestration Using an Artificial Immune System
Authors
José Abreu
Marcelo Caetano
Rui Penha
Copyright Year
2016
Book
Evolutionary and Biologically Inspired Music, Sound, Art and Design

Print ISBN: 978-3-319-31007-7

Electronic ISBN: 978-3-319-31008-4

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-31008-4_1