2017
DOI: 10.1525/mp.2017.34.5.541
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Pitch Dispersal and the Perception of Tonal Strength in Schoenberg’s Oeuvre

Abstract: The idea that listeners’ tonal/atonal sense represents a special case of multiple causation was examined, and the following hypothesis was tested: pitch dispersal (i.e., distance in pitch between successive tones) is a secondary determiner of tonality and atonality, the former being strengthened by low levels of pitch dispersal and the latter by high levels of pitch dispersal. A correlational study was conducted in which eight trained listeners judged the degree to which 78 melodies extracted from A. Schoenber… Show more

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Cited by 5 publications
(3 citation statements)
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“…Perhaps the most predictable result among European composer data was that Schönberg’s interval size is the largest of all the individual pieces considered. This is consistent with Anta’s claim that pitch dispersal is a “secondary determiner” of atonality (2017). However, tonal music may also be dispersed.…”
Section: Resultssupporting
confidence: 90%
“…Perhaps the most predictable result among European composer data was that Schönberg’s interval size is the largest of all the individual pieces considered. This is consistent with Anta’s claim that pitch dispersal is a “secondary determiner” of atonality (2017). However, tonal music may also be dispersed.…”
Section: Resultssupporting
confidence: 90%
“…Krumhansl, Sandell, and Sergeant's methodology immediately lends itself to an empirical method of answering this question, comparing row segments to Krumhansl and Kessler's (1982) tonal hierarchy. More recent research has continued to show that correlation with tonal key profiles is a good predictor of listener judgments of tonality (Anta, 2017). Von Hippel and Huron's results are musicologically interesting: in certain broad respects, they confirm what we might expect (Berg encourages tonal hearing, Webern discourages it), but they also provide additional nuance to those judgments.…”
mentioning
confidence: 60%
“…This correlation became the basis for Krumhansl and Schmuckler’s key finding algorithm (Krumhansl, 1990; Krumhansl & Schmuckler, 1986), which matches frequency distributions to probe-tone profiles. Today, both perceptual and corpus-based experiments continue to draw on this framework and the associated idea of statistical learning of the tonal hierarchy via frequency counts, with theories of tonal hierarchy and frequency distributions becoming so intertwined that researchers use the term “key profile” interchangeably to refer either to profiles of probe-tone ratings (Anta, 2017; Arthur, 2018) or profiles of frequency counts (Anta, 2015; Quinn & White, 2017).…”
mentioning
confidence: 99%