Representing musical notes as points in pitch-time space causes repeated motives and themes to appear as translationally related patterns that often correspond to maximal translatable patterns (MTPs). However, an MTP is also often the union of a salient pattern with one or two temporally isolated notes. This has been called the problem of isolated membership. Examining the MTPs in musical works reveals that salient patterns may correspond more often to the intersections of MTPs than to the MTPs themselves. We therefore explore patterns that are maximal with respect to their translational equivalence classes (MTEC). We prove that a pattern is MTEC if and only if it can be expressed as the intersection of MTPs. MTECs could therefore solve the...
We present a computational model for discovering repeated patterns in symbolic representations of mo...
In 1981, Deutsch and Feroe proposed a formal language for representing melodic pitch structure that ...
This paper describes a computational model for discovering repeated patterns in symbolic representat...
Maximal translational equivalence classes of musical patterns in point-set representation
Several point-set pattern-discovery and compression algorithms designed for analysing music are revi...
We present a new algorithm, SIA, which discovers maximal repeated patterns in any set of points in C...
An algorithm that discovers the themes, motives and other perceptually significant repeated patterns...
We study the problem of identifying repetitions under transposition and time-warp invariances in pol...
Musical pattern discovery algorithms find instances of repetition in symbolic music, allowing for so...
The geometric approach to intra-opus pattern discovery (in which notes are represented as points in ...
Three versions of each of two greedy compression algorithms, COSIATEC and SIATECCompress, were run o...
The discovery of frequent musical patterns (motifs) is a relevant problem in musicology. This paper ...
This paper defends the view that the intricate difficulties challenging the emerging domain of Music...
The paper describes a computational system for exhaustive but compact description of repeated motivi...
Most people are able to recognise familiar tunes even when played in a different key. It is assumed ...
We present a computational model for discovering repeated patterns in symbolic representations of mo...
In 1981, Deutsch and Feroe proposed a formal language for representing melodic pitch structure that ...
This paper describes a computational model for discovering repeated patterns in symbolic representat...
Maximal translational equivalence classes of musical patterns in point-set representation
Several point-set pattern-discovery and compression algorithms designed for analysing music are revi...
We present a new algorithm, SIA, which discovers maximal repeated patterns in any set of points in C...
An algorithm that discovers the themes, motives and other perceptually significant repeated patterns...
We study the problem of identifying repetitions under transposition and time-warp invariances in pol...
Musical pattern discovery algorithms find instances of repetition in symbolic music, allowing for so...
The geometric approach to intra-opus pattern discovery (in which notes are represented as points in ...
Three versions of each of two greedy compression algorithms, COSIATEC and SIATECCompress, were run o...
The discovery of frequent musical patterns (motifs) is a relevant problem in musicology. This paper ...
This paper defends the view that the intricate difficulties challenging the emerging domain of Music...
The paper describes a computational system for exhaustive but compact description of repeated motivi...
Most people are able to recognise familiar tunes even when played in a different key. It is assumed ...
We present a computational model for discovering repeated patterns in symbolic representations of mo...
In 1981, Deutsch and Feroe proposed a formal language for representing melodic pitch structure that ...
This paper describes a computational model for discovering repeated patterns in symbolic representat...