Hearing in Time: Psychological Aspects of Musical Meter

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Oxford University Press, Sep 2, 2004 - Psychology - 206 pages
Our sense that a waltz is "in three" or a blues song is "in four with a shuffle" comes from our sense of musical meter. Hearing in Time explores musical meter from the point of view of cognitive theories of perception and attention. London explores how our ability to follow musical meter is simply a specific instance of our more general ability to synchronize our attention to regularly recurring events in our environment. As such, musical meter is subject to a number of fundamental perceptual and cognitive constraints, which form the cornerstones of London's account. Because listening to music, like many other rhythmic activities, is something that we often do, London views it as a skilled activity for performers and non-performers alike. Hearing in Time approaches musical meter in the context of music as it is actually performed, rather than as a theoretical ideal. Its approach is not based on any particular musical style or cultural practice, so it uses familiar examples from a broad range of music--Beethoven and Bach to Brubeck and Ghanaian drumming. Taking this broad approach brings out a number of fundamental similarities between a variety of different metric phenomena, such as the difference between so-called simple versus complex or additive meters. Because of its accessible style--only a modest ability to read a musical score is presumed--Hearing in Time is for anyone interested in rhythm and meter, including cognitive psychologists, musicologists, musicians, and music theorists.

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1 Meter as a Kind of Attentional Behavior
2 Research on Temporal Perception and its Relevance for Theories of Musical Meter
Ground Rules
4 Metric Representations and Metric WellFormedness
6 Metric Flux in Beethovens Fifth
7 NonIsochronous Meters
8 NIMeters in Theory and Practice
9 The Many Meters Hypothesis

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About the author (2004)

Justin London is the founder and visionary of GlobalMaxTrading.com (GMT), The World's Online Financial Supermarket(R), a global online trading and financial technology company, as well as GlobalMaxAuctions.com, The World's Online Trading Exchange (R), a global B2C and B2B auction and trading company. He has analyzed and managed bank corporate loan portfolios using credit derivatives in the Asset Portfolio Management Group of a large bank in Chicago, Illinois. He has developed fixed-income and equity models for trading companies and his own quantitative consulting firm. London has written code and algorithms in C++ to price and hedge various equity and fixed-income derivatives with a focus on building interest rate models. A graduate of the University of Michigan, London has five degrees, including a BA in economics and mathematics, an MA in applied economics, and an MS in financial engineering, computer science, and mathematics, respectively.

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