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The geometric approach to intra-opus pattern discovery (in which notes are represented as points in pitch-time space in order to discover repeated patterns within a piece of music) shows promise particularly for polyphonic music, but has attracted some criticism because: (1) the approach extends to a limited number of inexact repetition types only; (2)(More)
Algorithms for the discovery of musical repetition have been developed in audio and symbolic domains more or less independently for over a decade. In this paper we combine algorithms for multiple F0 estimation, beat tracking, quantisation, and pattern discovery, so that for the first time, the note content of motifs, themes, and repeated sections can be(More)
We consider the problem of intra-opus pattern discovery, that is, the task of discovering patterns of a specified type within a piece of music. A music analyst undertook this task for works by Domenico Scarlattti and Johann Sebastian Bach, forming a benchmark of ‘target’ patterns. The performance of two existing algorithms and one of our own creation,(More)
Listeners' expectations for melodies and harmonies in tonal music are perhaps the most studied aspect of music cognition. Long debated has been whether faster response times (RTs) to more strongly primed events (in a music theoretic sense) are driven by sensory or cognitive mechanisms, such as repetition of sensory information or activation of cognitive(More)
A metric for evaluating the creativity of a music-generating system is presented, the objective being to generate mazurka-style music that inherits salient patterns from an original excerpt by Frédéric Chopin. The metric acts as a filter within our overall system, causing rejection of generated passages that do not inherit salient patterns, until a(More)
Stylistic composition is a creative musical activity, in which students as well as renowned composers write according to the style of another composer or period. We describe and evaluate two computational models of stylistic composition, called Racchman-Oct2010 and Racchmaninof-Oct2010. The former is a constrained Markov model and the latter embeds this(More)
Cl@ssical Music Extraction of Relevant Aspects by Text Analysis (C@merata) is a shared evaluation held at MediaEval and this is the third time the task has run. The input is a natural language query (‘F# in the cello’) and the output is a passage in a MusicXML score which contains this note played on the instrument in question. There are 200 such questions(More)
Imagine that a budding composer suffers from writer’s block partway through devising a melody. A system called FreshJam is demonstrated, which offers a solution to this problem in the form of an interactive composition assistant; an algorithm that analyzes the notes composed so far, makes a comparison with an indexed corpus of existing music, and suggests a(More)