Work

AMMRI: a computational assessment tool for music novices’ replication and improvisation tasks

Year: 2022

Type: article

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.

Source: Journal of New Music Research

DOI: 10.1080/09298215.2023.2270973

Authors: Roger T. Dean, Anthony Chmiel, Madeleine Radnan, John R. Taylor, Jennifer MacRitchie

Institutions: Western Sydney University, University of Sheffield

Language: English

Topic: Diverse Music Education Insights

Subfield: Music

Field: Arts and Humanities

Domain: Social Sciences

SDG: Quality education

Open Access status: green

Funder: Australian Research Council