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A Novel Interface for the Graphical Analysis of Music Practice Behaviors
Practice is an essential part of music training, but critical content-based analyses of practice behaviors still lack tools for conveying informative representation of practice sessions. To bridge this gap, we present a novel visualization system, the Music Practice Browser, for representing, identi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6275316/ https://www.ncbi.nlm.nih.gov/pubmed/30534100 http://dx.doi.org/10.3389/fpsyg.2018.02292 |
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author | Sokolovskis, Janis Herremans, Dorien Chew, Elaine |
author_facet | Sokolovskis, Janis Herremans, Dorien Chew, Elaine |
author_sort | Sokolovskis, Janis |
collection | PubMed |
description | Practice is an essential part of music training, but critical content-based analyses of practice behaviors still lack tools for conveying informative representation of practice sessions. To bridge this gap, we present a novel visualization system, the Music Practice Browser, for representing, identifying, and analysing music practice behaviors. The Music Practice Browser provides a graphical interface for reviewing recorded practice sessions, which allows musicians, teachers, and researchers to examine aspects and features of music practice behaviors. The system takes beat and practice segment information together with a musical score in XML format as input, and produces a number of different visualizations: Practice Session Work Maps give an overview of contiguous practice segments; Practice Segment Arcs make evident transitions and repeated segments; Practice Session Precision Maps facilitate the identifying of errors; Tempo-Loudness Evolution Graphs track expressive variations over the course of a practice session. We then test the new system on practice sessions of pianists of varying levels of expertise ranging from novice to expert. The practice patterns found include Drill-Correct, Drill-Smooth, Memorization Strategy, Review and Explore, and Expressive Evolution. The analysis reveals practice patterns and behavior differences between beginners and experts, such as a higher proportion of Drill-Smooth patterns in expert practice. |
format | Online Article Text |
id | pubmed-6275316 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-62753162018-12-10 A Novel Interface for the Graphical Analysis of Music Practice Behaviors Sokolovskis, Janis Herremans, Dorien Chew, Elaine Front Psychol Psychology Practice is an essential part of music training, but critical content-based analyses of practice behaviors still lack tools for conveying informative representation of practice sessions. To bridge this gap, we present a novel visualization system, the Music Practice Browser, for representing, identifying, and analysing music practice behaviors. The Music Practice Browser provides a graphical interface for reviewing recorded practice sessions, which allows musicians, teachers, and researchers to examine aspects and features of music practice behaviors. The system takes beat and practice segment information together with a musical score in XML format as input, and produces a number of different visualizations: Practice Session Work Maps give an overview of contiguous practice segments; Practice Segment Arcs make evident transitions and repeated segments; Practice Session Precision Maps facilitate the identifying of errors; Tempo-Loudness Evolution Graphs track expressive variations over the course of a practice session. We then test the new system on practice sessions of pianists of varying levels of expertise ranging from novice to expert. The practice patterns found include Drill-Correct, Drill-Smooth, Memorization Strategy, Review and Explore, and Expressive Evolution. The analysis reveals practice patterns and behavior differences between beginners and experts, such as a higher proportion of Drill-Smooth patterns in expert practice. Frontiers Media S.A. 2018-11-26 /pmc/articles/PMC6275316/ /pubmed/30534100 http://dx.doi.org/10.3389/fpsyg.2018.02292 Text en Copyright © 2018 Sokolovskis, Herremans and Chew. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Sokolovskis, Janis Herremans, Dorien Chew, Elaine A Novel Interface for the Graphical Analysis of Music Practice Behaviors |
title | A Novel Interface for the Graphical Analysis of Music Practice Behaviors |
title_full | A Novel Interface for the Graphical Analysis of Music Practice Behaviors |
title_fullStr | A Novel Interface for the Graphical Analysis of Music Practice Behaviors |
title_full_unstemmed | A Novel Interface for the Graphical Analysis of Music Practice Behaviors |
title_short | A Novel Interface for the Graphical Analysis of Music Practice Behaviors |
title_sort | novel interface for the graphical analysis of music practice behaviors |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6275316/ https://www.ncbi.nlm.nih.gov/pubmed/30534100 http://dx.doi.org/10.3389/fpsyg.2018.02292 |
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