Quantifying Metrical Ambiguity
نویسنده
چکیده
This paper explores how data generated by meter induction models may be recycled to quantify metrical ambiguity, which is calculated by measuring the dispersion of metrical induction strengths across a population of possible meters. A measure of dispersion commonly used in economics to measure income inequality, the Gini coefficient, is introduced for this purpose. The value of this metric as a rhythmic descriptor is explored by quantifying the ambiguity of several common clave patterns and comparing the results to other metrics of rhythmic complexity and syncopation.
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تاریخ انتشار 2008