音长，歌曲片段，熵:对快速音乐识别过程模型的建议

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

Journal of New Music Research Pub Date : 2020-07-02 DOI:10.1080/09298215.2020.1784955

Felix Christian Thiesen, R. Kopiez, Daniel Müllensiefen, Christoph Reuter, Isabella Czedik-Eysenberg

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引用次数: 2

摘要

在一项在线研究中，N = 517名参与者在排列参数和跨模态变量方面对48个由知名流行歌曲组成的极短音乐刺激进行了评分。歌曲和艺术家的识别率在0-7%之间。我们观察到刺激持续时间的增加以及结构部分（合唱或诗句）和检测率之间的关联。对跨模态变量的分析揭示了一个主要因素，代表了对plink的感知“有序性”，作为标题识别的有力预测因素。当进入心理声学低水平特征时，谱熵成为主要的预测因子。歌声的存在似乎还促进了识别过程。

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Duration, song section, entropy: Suggestions for a model of rapid music recognition processes

In an online study, N = 517 participants rated 48 very short musical stimuli comprised of well-known pop songs with regard to arrangement parameters and cross-modal variables. Identification rates for songs and artists ranged between 0-7%. We observed associations between increasing stimulus durations as well as structural sections (chorus or verse) and detection rates. Analyses of the cross-modal variables revealed a main factor, representing the perceived ‘orderliness' of a plink as a strong predictor for title recognition. When psychoacoustic low-level features were entered, Spectral Entropy became the main predictor. The presence of a singing voice additionally seemed to facilitate recognition processes.

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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.