Abstract
This paper describes an artificial neural network that can be viewed as an extension of a pioneering network described by Laden and Keefe. This network was trained to classify sets of four musical notes into four different chord classes, regardless of the musical key or the form (inversion) of the chord. This new network has a slightly modified training set; after successful training the internal structure was analyzed and was found to be unique. That is, rather than using the 12 musical notes of Western music, the network used only 4 musical notes based upon circles of major thirds and of minor thirds[1].
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Yaremchuk, V., Dawson, M.R.W. (2005). Chord Classifications by Artificial Neural Networks Revisited: Internal Representations of Circles of Major Thirds and Minor Thirds. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds) Artificial Neural Networks: Biological Inspirations – ICANN 2005. ICANN 2005. Lecture Notes in Computer Science, vol 3696. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550822_94
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DOI: https://doi.org/10.1007/11550822_94
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28752-0
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