Journal of Mathematics and Music · 2011 · 33 citations · 16 references
HumanitiesMathematicsMusicologyMusic AnalysisMusic TheoryTime Series AnalysisComputational MusicologyFourier AnalysisRhythmic AnalysisScale RepresentationSignal ProcessingTonal AnalysisCanonical Form ComputationDecompositionsFrame ElementsMusical Pattern RecognitionMusical Scale SystemsPeriodic StructureRhythmic Pattern Analysis
This paper shows how scale vectors (which can represent either pitch or rhyth-mic patterns) can be written as a linear combination of columns of scale matrices, thus decomposing the scale into musically relevant intervals. When the scales or rhythms have different cardinality, they can be compared using a canonical form closely related to Lyndon words. The eigenvalues of the scale matrix are equal to the Fourier coefficients, which leads to a number of relationships between the scale vectors and the decompositions. Overcomplete dictionaries of frame elements can be used for more convincing representations by finding sparse decompositions, a technique that can also be applied to tiling problems. Scale matrices are related to familiar theoretical properties such as the interval function, Z-relation or homom-etry, all of which can be efficiently studied within this framework. In many cases, the determinant of the scale matrix is key: singular scale matrices correspond to Lewin’s special cases; regular matricesallow a simple method of recovering the ar-gument of an interval function and elicit unique decompositions; large determinant values correspond to flat interval distributions. 1
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Peter J. Huber · The Annals of Statistics · 1985 · 1.2K citations
Cognitive Foundations of Musical Pitch
Bruno H. Repp, Carol L. Krumhansl · The American Journal of Psychology · 1991 · 915 citations
Humanities, Musicology, Psychology +14