We study the problem of identifying repetitions under transposition and time-warp invariances in polyphonic symbolic music. Using a novel onset-time-pair representation, we reduce the repeating pattern discovery problem to instances of the classical problem of finding the longest increasing subsequences. The resulting algorithm works in O(n(2) log n) time where n is the number of notes in a musical work. We also study windowed variants of the problem where onset-time differences between notes are restricted, and show that they can also be solved in O(n(2) log n) time using the algorithm.Peer reviewe
Abstract-Music separation methods are more demanding and complex, demanding system “training, ” user...
Recent advances in music information retrieval have enabled users to query a database by singing or ...
Comunicació presentada a la 15th International Society for Music Information Retrieval Conference (I...
Comunicació presentada a la 10th International Conference on Signal Image Technology and Internet Ba...
An algorithm that discovers the themes, motives and other perceptually significant repeated patterns...
We present a new algorithm, SIA, which discovers maximal repeated patterns in any set of points in C...
Methods for discovering repeated patterns in music are important tools in computational music analys...
Musical pattern discovery algorithms find instances of repetition in symbolic music, allowing for so...
The use of point-set representations of music enable repeated pattern discoveryto be performed on po...
International audienceWe focus on the rhythmic component of symbolic music similarity, proposing sev...
The present dissertation develops, applies and evaluates a novel method for the representation and r...
cote interne IRCAM: Meudic03aNone / NoneNational audienceIn the context of musical analysis, we prop...
[[abstract]]In this paper, two research issues on music data mining are studied. The first one is mi...
cote interne IRCAM: Meudic03bNone / NoneNational audienceIn the context of pattern extraction from p...
Algorithms for the discovery of musical repetition have been developed in audio and symbolic domains...
Abstract-Music separation methods are more demanding and complex, demanding system “training, ” user...
Recent advances in music information retrieval have enabled users to query a database by singing or ...
Comunicació presentada a la 15th International Society for Music Information Retrieval Conference (I...
Comunicació presentada a la 10th International Conference on Signal Image Technology and Internet Ba...
An algorithm that discovers the themes, motives and other perceptually significant repeated patterns...
We present a new algorithm, SIA, which discovers maximal repeated patterns in any set of points in C...
Methods for discovering repeated patterns in music are important tools in computational music analys...
Musical pattern discovery algorithms find instances of repetition in symbolic music, allowing for so...
The use of point-set representations of music enable repeated pattern discoveryto be performed on po...
International audienceWe focus on the rhythmic component of symbolic music similarity, proposing sev...
The present dissertation develops, applies and evaluates a novel method for the representation and r...
cote interne IRCAM: Meudic03aNone / NoneNational audienceIn the context of musical analysis, we prop...
[[abstract]]In this paper, two research issues on music data mining are studied. The first one is mi...
cote interne IRCAM: Meudic03bNone / NoneNational audienceIn the context of pattern extraction from p...
Algorithms for the discovery of musical repetition have been developed in audio and symbolic domains...
Abstract-Music separation methods are more demanding and complex, demanding system “training, ” user...
Recent advances in music information retrieval have enabled users to query a database by singing or ...
Comunicació presentada a la 15th International Society for Music Information Retrieval Conference (I...