声音大众音乐的语义维度

IF 1.3 2区 心理学 0 MUSIC
Jason Noble, E. Thoret, Max Henry, S. McAdams
{"title":"声音大众音乐的语义维度","authors":"Jason Noble, E. Thoret, Max Henry, S. McAdams","doi":"10.1525/mp.2020.38.2.214","DOIUrl":null,"url":null,"abstract":"WE COMBINE PERCEPTUAL RESEARCH AND ACOUStic analysis to probe the messy, pluralistic world of musical semantics, focusing on sound mass music. Composers and scholars describe sound mass with many semantic associations. We designed an experiment to evaluate to what extent these associations are experienced by other listeners. Thirty-eight participants heard 40 excerpts of sound mass music and related contemporary genres and rated them along batteries of semantic scales. Participants also described their rating strategies for some categories. A combination of qualitative stimulus analyses, Cronbach’s alpha tests, and principal component analyses suggest that crossdomain mappings between semantic categories and musical properties are statistically coherent between participants, implying non-arbitrary relations. Some aspects of participants’ descriptions of their rating strategies appear to be reflected in their numerical ratings. We sought quantitative bases for these associations in the acoustic signals. After attempts to correlate semantic ratings with classical audio descriptors failed, we pursued a neuromimetic representation called spectrotemporal modulations (STMs), which explains much more of the variance in semantic ratings. This result suggests that semantic interpretations of music may involve qualities or attributes that are objectively present in the music, since computer simulation can use sound signals to partially reconstruct human semantic ratings.","PeriodicalId":47786,"journal":{"name":"Music Perception","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Semantic Dimensions of Sound Mass Music\",\"authors\":\"Jason Noble, E. Thoret, Max Henry, S. McAdams\",\"doi\":\"10.1525/mp.2020.38.2.214\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"WE COMBINE PERCEPTUAL RESEARCH AND ACOUStic analysis to probe the messy, pluralistic world of musical semantics, focusing on sound mass music. Composers and scholars describe sound mass with many semantic associations. We designed an experiment to evaluate to what extent these associations are experienced by other listeners. Thirty-eight participants heard 40 excerpts of sound mass music and related contemporary genres and rated them along batteries of semantic scales. Participants also described their rating strategies for some categories. A combination of qualitative stimulus analyses, Cronbach’s alpha tests, and principal component analyses suggest that crossdomain mappings between semantic categories and musical properties are statistically coherent between participants, implying non-arbitrary relations. Some aspects of participants’ descriptions of their rating strategies appear to be reflected in their numerical ratings. We sought quantitative bases for these associations in the acoustic signals. After attempts to correlate semantic ratings with classical audio descriptors failed, we pursued a neuromimetic representation called spectrotemporal modulations (STMs), which explains much more of the variance in semantic ratings. This result suggests that semantic interpretations of music may involve qualities or attributes that are objectively present in the music, since computer simulation can use sound signals to partially reconstruct human semantic ratings.\",\"PeriodicalId\":47786,\"journal\":{\"name\":\"Music Perception\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2020-11-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Music Perception\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1525/mp.2020.38.2.214\",\"RegionNum\":2,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"MUSIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Music Perception","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1525/mp.2020.38.2.214","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"MUSIC","Score":null,"Total":0}
引用次数: 2

摘要

我们将感知研究和声学分析相结合,以声音大众音乐为中心,探索音乐语义的混乱、多元世界。作曲家和学者用许多语义联想来描述声团。我们设计了一个实验来评估其他听众在多大程度上体验到这些联想。38名参与者听了40段有声大众音乐和相关当代流派的节选,并根据语义量表对其进行了评分。参与者还描述了他们对某些类别的评分策略。定性刺激分析、Cronbachα检验和主成分分析的结合表明,语义类别和音乐特性之间的跨域映射在参与者之间是统计上一致的,这意味着非任意关系。参与者对其评级策略的描述的某些方面似乎反映在他们的数字评级中。我们在声学信号中寻找这些关联的定量基础。在将语义评级与经典音频描述符相关联的尝试失败后,我们采用了一种称为分时调制(STM)的神经计量学表示,它解释了语义评级的更多差异。这一结果表明,对音乐的语义解释可能涉及音乐中客观存在的质量或属性,因为计算机模拟可以使用声音信号来部分重建人类的语义评级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Semantic Dimensions of Sound Mass Music
WE COMBINE PERCEPTUAL RESEARCH AND ACOUStic analysis to probe the messy, pluralistic world of musical semantics, focusing on sound mass music. Composers and scholars describe sound mass with many semantic associations. We designed an experiment to evaluate to what extent these associations are experienced by other listeners. Thirty-eight participants heard 40 excerpts of sound mass music and related contemporary genres and rated them along batteries of semantic scales. Participants also described their rating strategies for some categories. A combination of qualitative stimulus analyses, Cronbach’s alpha tests, and principal component analyses suggest that crossdomain mappings between semantic categories and musical properties are statistically coherent between participants, implying non-arbitrary relations. Some aspects of participants’ descriptions of their rating strategies appear to be reflected in their numerical ratings. We sought quantitative bases for these associations in the acoustic signals. After attempts to correlate semantic ratings with classical audio descriptors failed, we pursued a neuromimetic representation called spectrotemporal modulations (STMs), which explains much more of the variance in semantic ratings. This result suggests that semantic interpretations of music may involve qualities or attributes that are objectively present in the music, since computer simulation can use sound signals to partially reconstruct human semantic ratings.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Music Perception
Music Perception Multiple-
CiteScore
3.70
自引率
4.30%
发文量
22
期刊介绍: Music Perception charts the ongoing scholarly discussion and study of musical phenomena. Publishing original empirical and theoretical papers, methodological articles and critical reviews from renowned scientists and musicians, Music Perception is a repository of insightful research. The broad range of disciplines covered in the journal includes: •Psychology •Psychophysics •Linguistics •Neurology •Neurophysiology •Artificial intelligence •Computer technology •Physical and architectural acoustics •Music theory
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信