An introduction to genetic algorithms
An introduction to genetic algorithms
Machine Learning
Data Mining and Knowledge Discovery with Evolutionary Algorithms
Data Mining and Knowledge Discovery with Evolutionary Algorithms
Psychoacoustically informed spectrography and timbre
Organised Sound
EURASIP Journal on Applied Signal Processing
Toward user-directed evolution of sound synthesis parameters
EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
Timbre interfaces using adjectives and adverbs
NIME '06 Proceedings of the 2006 conference on New interfaces for musical expression
Perceptual characterization of motion evoked by sounds for synthesis control purposes
ACM Transactions on Applied Perception (TAP)
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Synthesising timbres and changes to timbres from natural language descriptions is an interesting challenge for computer music. This paper describes the current state of an ongoing project which takes a machine learning approach to this problem. We discuss the challenges that are presented by this, discuss various strategies for tackling this problem, and explain some experimental work. In particular our approach is focused on the creation of a system that uses an analysis-synthesis cycle to learn and then produce such timbre changes.