research-article

Towards an automatic music arrangement framework using score reduction

Authors:

Jiun-Long Huang,

Shih-Chuan Chiu,

Man-Kwan ShanAuthors Info & Claims

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Volume 8, Issue 1

Article No.: 8, Pages 1 - 23

https://doi.org/10.1145/2071396.2071404

Published: 03 February 2012 Publication History

Abstract

Score reduction is a process that arranges music for a target instrument by reducing original music. In this study we present a music arrangement framework that uses score reduction to automatically arrange music for a target instrument. The original music is first analyzed to determine the type of arrangement element of each section, then the phrases are identified and each is assigned a utility according to its type of arrangement element. For a set of utility-assigned phrases, we transform the music arrangement into an optimization problem and propose a phrase selection algorithm. The music is arranged by selecting appropriate phrases satisfying the playability constraints of a target instrument. Using the proposed framework, we implement a music arrangement system for the piano. An approach similar to Turing test is used to evaluate the quality of the music arranged by our system. The experiment results show that our system is able to create viable music for the piano.

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Cited By

Maccarini FOudin MGiraud MLevé F(2024)Co-creative Orchestration of Angeles with Layer Scores and Orchestration PlansArtificial Intelligence in Music, Sound, Art and Design10.1007/978-3-031-56992-0_15(228-245)Online publication date: 3-Apr-2024
https://dl.acm.org/doi/10.1007/978-3-031-56992-0_15
Muszynski STarapata Z(2023)Methods of Automated Music Comparison Based on Multi-Objective Metrics of Network SimilarityApplied Sciences10.3390/app1306356713:6(3567)Online publication date: 10-Mar-2023
https://doi.org/10.3390/app13063567
Terao MNakamura EYoshii K(2023)Neural Band-to-Piano Score Arrangement with Stepless Difficulty ControlICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)10.1109/ICASSP49357.2023.10095462(1-5)Online publication date: 4-Jun-2023
https://doi.org/10.1109/ICASSP49357.2023.10095462
Show More Cited By

Index Terms

Towards an automatic music arrangement framework using score reduction
1. Applied computing
  1. Arts and humanities

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Published In

cover image ACM Transactions on Multimedia Computing, Communications, and Applications

ACM Transactions on Multimedia Computing, Communications, and Applications Volume 8, Issue 1

January 2012

149 pages

ISSN:1551-6857

EISSN:1551-6865

DOI:10.1145/2071396

Issue’s Table of Contents

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 February 2012

Accepted: 01 November 2010

Revised: 01 November 2010

Received: 01 June 2010

Published in TOMM Volume 8, Issue 1

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Cited By

Maccarini FOudin MGiraud MLevé F(2024)Co-creative Orchestration of Angeles with Layer Scores and Orchestration PlansArtificial Intelligence in Music, Sound, Art and Design10.1007/978-3-031-56992-0_15(228-245)Online publication date: 3-Apr-2024
https://dl.acm.org/doi/10.1007/978-3-031-56992-0_15
Muszynski STarapata Z(2023)Methods of Automated Music Comparison Based on Multi-Objective Metrics of Network SimilarityApplied Sciences10.3390/app1306356713:6(3567)Online publication date: 10-Mar-2023
https://doi.org/10.3390/app13063567
Terao MNakamura EYoshii K(2023)Neural Band-to-Piano Score Arrangement with Stepless Difficulty ControlICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)10.1109/ICASSP49357.2023.10095462(1-5)Online publication date: 4-Jun-2023
https://doi.org/10.1109/ICASSP49357.2023.10095462
Terao MHiramatsu YIshizuka RWu YYoshii K(2022)Difficulty-Aware Neural Band-to-Piano Score Arrangement based on Note- and Statistic-Level CriteriaICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)10.1109/ICASSP43922.2022.9747615(196-200)Online publication date: 23-May-2022
https://doi.org/10.1109/ICASSP43922.2022.9747615
Chiu SChen M(2012)A Study on Difficulty Level Recognition of Piano Sheet MusicProceedings of the 2012 IEEE International Symposium on Multimedia10.1109/ISM.2012.11(17-23)Online publication date: 10-Dec-2012
https://dl.acm.org/doi/10.1109/ISM.2012.11

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