Algoritmisk mønsteridentifikation: Nogle betragtninger omkring computeranvendelse i musikanalytisk øjemed

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

In the field of computer-assisted music analysis, similarity studies are widely recognized as the main areas of investigation comprising a number of computational tasks such as extraction, recognition, and comparison of musical patterns. A ‘musical pattern’ refers to any kind of recurring material (melodic, rhythmic, harmonic etc.), which is measurable through symbolic modelling. In this article, several issues associated with automated (algorithmic) procedures of musical analysis are introduced and discussed. First, preliminary historical and epistemological conditions of computational musicology are presented, followed by a few basic distinctions between different methods of application. Second, two central problems are evaluated: 1) the difficult choice of the form of symbolic representation, and 2) the challenge of finding musically adequate methods of comparison.
Original languageDanish
JournalDansk årbog for musikforskning
Volume33
Pages (from-to)77-103
ISSN0416-6884
Publication statusPublished - 2006

Cite this

@article{2decd4b023b511db8514000ea68e967b,
title = "Algoritmisk m{\o}nsteridentifikation: Nogle betragtninger omkring computeranvendelse i musikanalytisk {\o}jemed",
abstract = "In the field of computer-assisted music analysis, similarity studies are widely recognized as the main areas of investigation comprising a number of computational tasks such as extraction, recognition, and comparison of musical patterns. A ‘musical pattern’ refers to any kind of recurring material (melodic, rhythmic, harmonic etc.), which is measurable through symbolic modelling. In this article, several issues associated with automated (algorithmic) procedures of musical analysis are introduced and discussed. First, preliminary historical and epistemological conditions of computational musicology are presented, followed by a few basic distinctions between different methods of application. Second, two central problems are evaluated: 1) the difficult choice of the form of symbolic representation, and 2) the challenge of finding musically adequate methods of comparison.",
author = "Anders Bonde",
year = "2006",
language = "Dansk",
volume = "33",
pages = "77--103",
journal = "Danish Yearbook of Musicology",
issn = "1604-9896",
publisher = "Dansk Selskab for Musikforskning",

}

Algoritmisk mønsteridentifikation : Nogle betragtninger omkring computeranvendelse i musikanalytisk øjemed. / Bonde, Anders.

In: Dansk årbog for musikforskning, Vol. 33, 2006, p. 77-103.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Algoritmisk mønsteridentifikation

T2 - Nogle betragtninger omkring computeranvendelse i musikanalytisk øjemed

AU - Bonde, Anders

PY - 2006

Y1 - 2006

N2 - In the field of computer-assisted music analysis, similarity studies are widely recognized as the main areas of investigation comprising a number of computational tasks such as extraction, recognition, and comparison of musical patterns. A ‘musical pattern’ refers to any kind of recurring material (melodic, rhythmic, harmonic etc.), which is measurable through symbolic modelling. In this article, several issues associated with automated (algorithmic) procedures of musical analysis are introduced and discussed. First, preliminary historical and epistemological conditions of computational musicology are presented, followed by a few basic distinctions between different methods of application. Second, two central problems are evaluated: 1) the difficult choice of the form of symbolic representation, and 2) the challenge of finding musically adequate methods of comparison.

AB - In the field of computer-assisted music analysis, similarity studies are widely recognized as the main areas of investigation comprising a number of computational tasks such as extraction, recognition, and comparison of musical patterns. A ‘musical pattern’ refers to any kind of recurring material (melodic, rhythmic, harmonic etc.), which is measurable through symbolic modelling. In this article, several issues associated with automated (algorithmic) procedures of musical analysis are introduced and discussed. First, preliminary historical and epistemological conditions of computational musicology are presented, followed by a few basic distinctions between different methods of application. Second, two central problems are evaluated: 1) the difficult choice of the form of symbolic representation, and 2) the challenge of finding musically adequate methods of comparison.

M3 - Tidsskriftartikel

VL - 33

SP - 77

EP - 103

JO - Danish Yearbook of Musicology

JF - Danish Yearbook of Musicology

SN - 1604-9896

ER -