OSU Navigation Bar

The Ohio State University University Libraries Knowledge Bank

The Knowledge Bank is scheduled for regular maintenance on Sunday, April 20th, 8:00 am to 12:00 pm EDT. During this time users will not be able to register, login, or submit content.

Time-series analysis of Music: Perceptual and Information Dynamics

Please use this identifier to cite or link to this item: http://hdl.handle.net/1811/51214

Show full item record

Files Size Format View
EMR000097b-Pearce.pdf 189.3Kb PDF View/Open

Title: Time-series analysis of Music: Perceptual and Information Dynamics
Creators: Pearce, Marcus T.
Keywords: perception
emotion
structure
modelling
information dynamics
Issue Date: 2011-04
Publisher: Empirical Musicology Review
Citation: Empirical Musicology Review, v6 n2 (Apr 2011), 125-130
Abstract: 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.
Series/Report no.: EMR000097b
ISSN: 1559-5749
Other Identifiers: EMR000097b
URI: http://hdl.handle.net/1811/51214
Bookmark and Share