kth.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A Live Performance Rule System Informed by Irish Traditional Dance Music
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.
University of Nottingham.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.ORCID iD: 0000-0003-2549-6367
University of Nottingham.
2023 (English)In: Proc. International Symposium on Computer Music Multidisciplinary Research, 2023Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes ongoing work in programming a live performance system for interpreting melodies in ways that mimic Irish traditional dance music practice, and thatallows plug and play human interaction. Existing performance systemsare almost exclusively aimed at piano performance and classical music, and noneare aimed specifically at traditional music.We develop a rule-based approach using expert knowledgethat converts a melody into control parametersto synthesize an expressive MIDI performance,focusing on ornamentation, dynamics and subtle time deviation.Furthermore, we make the system controllable (e.g., via knobs or expression pedals) such that it can be controlled in real time by a musician.Our preliminary evaluations show the systemcan render expressive performances mimicking traditional practice, and allows for engaging withIrish traditional dance music in new ways. We provide several examples online.

Place, publisher, year, edition, pages
2023.
Keywords [en]
Music performance modeling, traditional music, Irish
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-335907OAI: oai:DiVA.org:kth-335907DiVA, id: diva2:1795616
Conference
International Symposium on Computer Music Multidisciplinary Research
Funder
EU, Horizon 2020, 864189
Note

QC 20231123

Available from: 2023-09-09 Created: 2023-09-09 Last updated: 2023-11-23Bibliographically approved

Open Access in DiVA

fulltext(3447 kB)377 downloads
File information
File name FULLTEXT01.pdfFile size 3447 kBChecksum SHA-512
5066f2a0d39c40e70fdda93c266fc900d5b5cd52f412fdf3806a06ac0c944805929e67e9f2b83b71cf30d974e9d95a029e3309c131933690b7698f33fb6a59cf
Type fulltextMimetype application/pdf

Authority records

Amerotti, MarcoSturm, Bob

Search in DiVA

By author/editor
Amerotti, MarcoSturm, Bob
By organisation
Speech, Music and Hearing, TMH
Other Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 381 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 542 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf