Book Chapter Details
Mandatory Fields
Loughran, R; Walker, J; O'Neill, M; McDermott, J
2012 Unknown
Evolutionary and Biologically Inspired Music, Sound, Art and Design LNCS vol. 7247
Genetic Programming for Musical Sound Analysis
Springer
Berlin, Heidelberg, Germany
Published
1
Optional Fields
This study uses Genetic Programming (GP) in developing a classifier to distinguish between five musical instruments. Using only simple arithmetic and boolean operators with 95 features as terminals, a program is developed that can classify 300 unseen samples with an accuracy of 94%. The experiment is then run again using only 14 of the most often chosen features. Limiting the features in this way raised the best classification to 94.3% and the average accuracy from 68.2% to 75.67%. This demonstrates that not only can GP be used to create a classifier but it can be used to determine the best features to choose for accurate musical instrument classification, giving an insight into timbre.
176
186
10.1007/978-3-642-29142-5_16
Grant Details