Dean, R.T. orcid.org/0000-0002-8859-8902, Chmiel, A. orcid.org/0000-0003-3294-0534, Radnan, M. orcid.org/0000-0003-3836-1162 et al. (2 more authors) (2023) AMMRI: a computational assessment tool for music novices’ replication and improvisation tasks. Journal of New Music Research, 51 (4-5). pp. 262-277. ISSN 0929-8215
Abstract
We present computational analyses of musical performances during 12-months study by novice participants aged 65–80. They learned two instruments (an electronic piano keyboard; the iPad app ThumbJam) each with two distinct approaches: replication by ear of melodies, and improvisation using specified methods. Here we present computational simulations and analyses of such processes and the corresponding R script. Using MIDI recordings from one participant group, we reveal diverse performance levels. Our tools are apt to analyse of our full dataset and potentially other assessments of early musical learning. The code can readily be developed for more advanced learners.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 Informa UK Limited, trading as Taylor & Francis Group. This is an author-produced version of a paper subsequently published in Journal of New Music Research. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Computational analysis; MIDI; melody replication; improvisation; learning; AMMRI |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Arts and Humanities (Sheffield) > Department of Music (Sheffield) |
Funding Information: | Funder Grant number Australian Research Council DP190102012 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 25 Jan 2024 12:10 |
Last Modified: | 16 Oct 2024 15:07 |
Status: | Published |
Publisher: | Informa UK Limited |
Refereed: | Yes |
Identification Number: | 10.1080/09298215.2023.2270973 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:208268 |
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Filename: AMMRI_Paper_Accepted.pdf
