2.50
Hdl Handle:
http://hdl.handle.net/10547/577000
Title:
Teaching rule-based algorithmic composition: the PWGL library cluster rules
Authors:
Anders, Torsten
Abstract:
This session reports on an approach to research - informed learning (research - based learning, according to Jenkins et al. (2007)) in the field of Music Technology. In the unit Algorithmic Composition, students learn how to create computer programs that assist the music composition process (using an easy to learn visual programming system). They then use their programs to compose music with them. Our students typically want to compose in a mainstream musical idiom, e.g., virtually all students aim for tonal music, and most often they want a clear rhythmic structure. Constraint programming is a proven approach to successfully model complex mus ic theories like harmony. I recently developed a software library that greatly simplifies the constraint - based modelling of tonal and metric music. More specifically, this new library (called Cluster Rules) provides a collection of predefined musical rules (constraints) for the new music constraint system Cluster Engine by Örjan Sandred (University of Manitoba, Canada). The collection includes various rules on rhythm, melody, harmony and counterpoint. These predefined rules offer a low floor (students easil y get started), but also allow for a high ceiling (highly complex music theories can be modelled freely, by defining further rules for Cluster Engine from scratch). This session will demonstrate the new software, motivate its design, discuss how students u sed this software to generate musical material for their compositions, and it will report on challenges met in that process.
Affiliation:
University of Bedfordshire
Citation:
Anders, T. (2015) 'Teaching Rule-Based Algorithmic Composition: The PWGL Library Cluster Rules’, University of Bedfordshire Annual Conference, 8-9 July 2015, Luton, UK.
Issue Date:
Jul-2015
URI:
http://hdl.handle.net/10547/577000
Additional Links:
http://www.beds.ac.uk/__data/assets/pdf_file/0005/464369/Programme-with-abstracts.pdf
Type:
Conference papers, meetings and proceedings
Language:
en
Description:
Conference proceedings
Appears in Collections:
Practice and Personal Research Group

Full metadata record

DC FieldValue Language
dc.contributor.authorAnders, Torstenen
dc.date.accessioned2015-09-09T10:15:33Zen
dc.date.available2015-09-09T10:15:33Zen
dc.date.issued2015-07en
dc.identifier.citationAnders, T. (2015) 'Teaching Rule-Based Algorithmic Composition: The PWGL Library Cluster Rules’, University of Bedfordshire Annual Conference, 8-9 July 2015, Luton, UK.en
dc.identifier.urihttp://hdl.handle.net/10547/577000en
dc.descriptionConference proceedingsen
dc.description.abstractThis session reports on an approach to research - informed learning (research - based learning, according to Jenkins et al. (2007)) in the field of Music Technology. In the unit Algorithmic Composition, students learn how to create computer programs that assist the music composition process (using an easy to learn visual programming system). They then use their programs to compose music with them. Our students typically want to compose in a mainstream musical idiom, e.g., virtually all students aim for tonal music, and most often they want a clear rhythmic structure. Constraint programming is a proven approach to successfully model complex mus ic theories like harmony. I recently developed a software library that greatly simplifies the constraint - based modelling of tonal and metric music. More specifically, this new library (called Cluster Rules) provides a collection of predefined musical rules (constraints) for the new music constraint system Cluster Engine by Örjan Sandred (University of Manitoba, Canada). The collection includes various rules on rhythm, melody, harmony and counterpoint. These predefined rules offer a low floor (students easil y get started), but also allow for a high ceiling (highly complex music theories can be modelled freely, by defining further rules for Cluster Engine from scratch). This session will demonstrate the new software, motivate its design, discuss how students u sed this software to generate musical material for their compositions, and it will report on challenges met in that process.en
dc.language.isoenen
dc.relation.urlhttp://www.beds.ac.uk/__data/assets/pdf_file/0005/464369/Programme-with-abstracts.pdfen
dc.titleTeaching rule-based algorithmic composition: the PWGL library cluster rulesen
dc.typeConference papers, meetings and proceedingsen
dc.contributor.departmentUniversity of Bedfordshireen
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