This paper formally characterizes the expressiveness of three approaches for polyphonic pattern representation and matching: R (relational patterns); H (Humdrum); and SPP (Structured Polyphonic Patterns). Relational networks have the highest expressiveness but H and SPP admit faster matching algorithms. It is shown how H and SPP can be cast as different restrictions of R, both providing an expr...

The evolution of tonal-harmonic syntax in European notated music, from the beginnings of polyphony to the emergence of majorminor tonality, has been the subject of intense historical study. Several authors have also attempted statistical analyses of the frequency of occurrence of specific pitch-time patterns in specific periods or composers. But no-one has compared prevalence profiles across di...

In modern literature, polyphony is a sort of recital which involves a variety of voices and standpoints. This plurality of independent voices was introduced by the Russian philosopher Mikhail Bakhtin. This study sought to look into how the notion of polyphony based on the character(s)' voices in Faulkner‟s novel entitled The Sound and the Fury </span...

In this paper, we propose a method to generate newmelodic styles (melodics) in the automatic composition of polyphonic music. In the proposed method, a melodic style is represented as a grammar that consists of rewriting rules, and the rewriting rules are generated by a classifier system, which is a genetics-based machine learning system. In the previous studies of grammatical approaches, the p...

Although we have seen a growing interest in participatory strategy-making, there is paucity of knowledge about the role polyphony and how it may be orchestrated. Our longitudinal analysis revealing case shows narrative strategy-making unfolded four temporally overlapping phases: First, top-down effort to lead resulted polyphony, which was nevertheless largely controlled from top. Second, follow...

Given the large number of new musical tracks released each year, automated approaches to plagiarism detection are essential to help us track potential violations of copyright. Most current approaches to plagiarism detection are based on musical similarity measures, which typically ignore the issue of polyphony in music. We present a novel feature space for audio derived from compositional model...