Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Cognitive Constraints on Metric Systems: Some Observations and Hypotheses

Authors: Justin London;

Cognitive Constraints on Metric Systems: Some Observations and Hypotheses

Abstract

This paper is a music-theoretic discussion of various studies on rhythmic perception and performance and their ramifications for discussions of musical meter. Meter is defined as a stable and recurring pattern of hierarchically structured temporal expectations. Metrical patterns, although related to the pattern of interonset intervals present in the musical surface, are distinct from that pattern. Studies of subjective rhythmization, spontaneous tempo, pulse perception, durational discrimination, and so forth are discussed with respect to their implications for meter. Not only do there seem to be upper and lower bounds for musical meter (from ≅100 ms to ≅6 s, depending on context), but there also appear to be important thresholds within this range (around 200–250 ms, 500–700 ms, and 1.5–2.0 s). Interactions between beats (i.e., interonset intervals between expectancies occurring at the rate perceived as the tactus), beat subdivision, and changes in tempo are discussed, and it is hypothesized that beat perception may require (at least potentially) the perception of a concomitant level of subdivision. The interactions between beat interonset interval, subdivision interonset interval, and various thresholds may also explain (in part) some of the differences in the expressive and/or motional character of rhythmic figures (duplets versus triplets) at different tempos. Last, a broader discussion of systematic relationships in larger metrical systems with respect to tempo is given. It is shown that the choice of tempo systematically constrains the number and kind of metric patterns that are available to the listener.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    69
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
69
Top 10%
Top 10%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!