The perception of structural boundaries in melody lines of Western popular music

Author:

Bruderer Michael J.1,McKinney Martin F.2,Kohlrausch Armin12

Affiliation:

1. Technische Universiteit Eindhoven The Netherlands

2. Philips Research Laboratories Eindhoven, The Netherlands

Abstract

Two experiments were conducted to investigate the perception of structural boundaries in six popular music songs. In the segmentation experiment, participants were asked to indicate perceived segment boundaries in monophonic representations of the songs, synthesized from the MIDI score. In the salience rating experiment, participants were asked to rate the salience of a number of boundaries selected from the outcome of the segmentation experiment, and to describe the perceptual cues for each boundary. The segmentation experiment showed that there is a wide variety in the number and temporal positions of perceived boundaries across participants. However, certain boundaries in the music are indicated by nearly all participants. The salience rating experiment showed a moderate correlation between participants’ boundary salience ratings. Comparing the outcome of the two experiments, we found a significant correlation between the frequency of boundary indications and the corresponding salience rating of that boundary. These findings suggest that both methods can be used equally well for evaluating the perceptual boundaries. The perceptual boundaries were also compared to boundaries predicted by three musicological models. The comparison of the perceptual boundaries with the predicted boundaries showed a moderate correlation between the perceptual and predicted boundaries.

Publisher

SAGE Publications

Subject

Music,Experimental and Cognitive Psychology

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Self-Supervised Learning of Multi-Level Audio Representations for Music Segmentation;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

2. Supervised Chorus Detection for Popular Music Using Convolutional Neural Network and Multi-Task Learning;ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2021-06-06

3. Audio-Based Music Structure Analysis: Current Trends, Open Challenges, and Applications;Transactions of the International Society for Music Information Retrieval;2020

4. Audio-Based Music Structure Analysis: Current Trends, Open Challenges, and Applications;Transactions of the International Society for Music Information Retrieval;2020

5. Perceiving Boundaries in Unfamiliar Turkish Makam Music;Music Perception;2017-02-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3