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文章基本信息

  • 标题:Time-series analysis of Music: Perceptual and Information Dynamics
  • 本地全文:下载
  • 作者:Pearce, Marcus T.
  • 期刊名称:Empirical Musicology Review
  • 电子版ISSN:1559-5749
  • 出版年度:2011
  • 卷号:6
  • 期号:2
  • 页码:125-130
  • 出版社:Ohio State University Library
  • 摘要:Dean and Bailes (2010) provide a tutorial on the use of time-series analysis in research on music perception and a study of the influence of acoustic factors on real-time perception of music. They illustrate their approach with a detailed case study of an electroacoustic composition by Trevor Wishart. In this commentary, I discuss four aspects of Dean and Bailes’ presentation: first, the importance of focusing on dynamic changes in musical structure; second, the benefits of computer-generated music for research on music perception; third, the need for caution in averaging responses from multiple listeners; and finally, the role of time-series analysis in understanding computational information-dynamic models of music cognition.
  • 关键词:perception ;emotion ;structure ;modelling ;information dynamics
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