From acceleration to rhythmicity: Smartphone-assessed movement predicts properties of music

IF 1.1 4区计算机科学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of New Music Research Pub Date : 2020-01-30 DOI:10.1080/09298215.2020.1715447

M. Irrgang, J. Steffens, Hauke Egermann

引用次数: 1

Abstract

ABSTRACT Querying music is still a disembodied process in Music Information Retrieval. Thus, the goal of the presented study was to explore how free and spontaneous movement captured by smartphone accelerometer data can be related to musical properties. Motion features related to tempo, smoothness, size, and regularity were extracted and shown to predict the musical qualities ‘rhythmicity’ (R² = .45), ‘pitch level + range’ (R² = .06) and ‘complexity (R² = .15). We conclude that (rhythmic) music properties can be predicted from movement, and that an embodied approach to MIR is feasible.

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从加速到节奏：智能手机评估的动作预测音乐的特性

摘要在音乐信息检索中，查询音乐仍然是一个没有实体的过程。因此，本研究的目标是探索智能手机加速度计数据捕捉到的自由和自发运动如何与音乐特性相关。提取并展示了与节奏、流畅度、大小和规律性相关的运动特征，以预测音乐品质“节奏性”（R²=.45）、“音高水平+范围”（Rµ=.06）和“复杂性”（R΅=.15）。我们得出结论，（节奏性）音乐特性可以从运动中预测，MIR的具体方法是可行的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of New Music Research 工程技术-计算机：跨学科应用

CiteScore

3.20

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： The Journal of New Music Research (JNMR) publishes material which increases our understanding of music and musical processes by systematic, scientific and technological means. Research published in the journal is innovative, empirically grounded and often, but not exclusively, uses quantitative methods. Articles are both musically relevant and scientifically rigorous, giving full technical details. No bounds are placed on the music or musical behaviours at issue: popular music, music of diverse cultures and the canon of western classical music are all within the Journal’s scope. Articles deal with theory, analysis, composition, performance, uses of music, instruments and other music technologies. The Journal was founded in 1972 with the original title Interface to reflect its interdisciplinary nature, drawing on musicology (including music theory), computer science, psychology, acoustics, philosophy, and other disciplines.