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ICFP 2019
Sun 18 - Fri 23 August 2019 Berlin, Germany
Fri 23 Aug 2019 17:20 - 17:50 at Stockholm - Musical Patterns Chair(s): Daniel Winograd-Cort

There is a plethora of computational systems designed for algorithmic discovery of musical patterns, ranging from geometrical methods to machine learning based approaches. These algorithms often disagree on what constitutes a pattern, mainly due to the lack of a broadly accepted definition of musical patterns.

On the other side of the spectrum, human-annotated musical patterns also often do not reach a consensus, partly due to the subjectivity of each individual expert, but also due to the elusive definition of a musical pattern in general.

In this work, we propose a framework of music-theoretic transformations, through which one can easily define predicates which dictate when two musical patterns belong to a particular equivalence class. We exploit simple notions from category theory to compose different transformations, allowing us to define complex transformations by putting together simple and well-understood ones.

Additionally, we provide a prototype implementation of our theoretical framework as an embedded domain-specific language in Haskell and conduct a meta-analysis on several algorithms submitted to a pattern extraction task of the the Music Information Retrieval Evaluation eXchange (MIREX) over the previous years.

Fri 23 Aug
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16:50 - 18:00: FARM 2019 - Musical Patterns at Stockholm
Chair(s): Daniel Winograd-CortTarget Corp
farm-2019-papers16:50 - 17:20
Yan HanUniversity of Cambridge, Nada AminHarvard University, Neel KrishnaswamiComputer Laboratory, University of Cambridge
farm-2019-papers17:20 - 17:50
Orestis MelkonianUtrecht University, Iris Yuping RenUtrecht University, Wouter SwierstraUtrecht University, Netherlands, Anja VolkUtrecht University