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dc.contributor.authorErdem, Çağrı
dc.contributor.authorLan, Qichao
dc.contributor.authorJensenius, Alexander Refsum
dc.date.accessioned2020-12-11T09:18:11Z
dc.date.available2020-12-11T09:18:11Z
dc.date.issued2020fi
dc.identifier.citationErdem, Çağrı; Lan, Qichao; Jensenius, Alexander Refsum (2020). Exploring relationships between effort, motion, and sound in new musical instruments. Human Technology, 16 (3), 310-347. DOI: 10.17011/ht/urn.202011256767
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/73130
dc.description.abstractWe investigated how the action–sound relationships found in electric guitar performance can be used in the design of new instruments. Thirty-one trained guitarists performed a set of basic sound-producing actions (impulsive, sustained, and iterative) and free improvisations on an electric guitar. We performed a statistical analysis of the muscle activation data (EMG) and audio recordings from the experiment. Then we trained a long short-term memory network with nine different configurations to map EMG signal to sound. We found that the preliminary models were able to predict audio energy features of free improvisations on the guitar, based on the dataset of raw EMG from the basic soundproducing actions. The results provide evidence of similarities between body motion and sound in music performance, compatible with embodied music cognition theories. They also show the potential of using machine learning on recorded performance data in the design of new musical instruments.fi
dc.languageeng
dc.publisherJyväskylän Yliopisto
dc.relation.ispartofseriesHuman Technologyfi
dc.rightsCC BY-NC 4.0
dc.subject.otherEMGfi
dc.subject.othermusicfi
dc.subject.othermachine learningfi
dc.subject.othermusical instrumentfi
dc.subject.othermotionfi
dc.subject.othereffortfi
dc.subject.otherguitarfi
dc.subject.otherembodiedfi
dc.titleExploring relationships between effort, motion, and sound in new musical instrumentsfi
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202012117076
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.description.reviewstatuspeerReviewed
dc.format.pagerange310-347
dc.relation.issn1795-6889
dc.relation.numberinseries3fi
dc.relation.volume16
dc.type.versionpublishedVersion
dc.rights.copyright©2020 Çağrı Erdem, Qichao Lan, & Alexander Refsum Jensenius, and the Open Science Centre, University of Jyväskylä
dc.rights.accesslevelopenAccessfi
dc.rights.urlhttps://creativecommons.org/licenses/by-nc/4.0/
dc.relation.doi10.17011/ht/urn.202011256767


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CC BY-NC 4.0
Except where otherwise noted, this item's license is described as CC BY-NC 4.0