The processing of chords in tonal melodic sequences
Fulltext:
64462.pdf
Embargo:
until further notice
Size:
331.0Kb
Format:
PDF
Description:
Publisher’s version
Publication year
2004Source
Journal of New Music Research, 33, 1, (2004), pp. 31-48ISSN
Publication type
Article / Letter to editor
Display more detailsDisplay less details
Organization
SW OZ DCC CO
Former Organization
SW OZ NICI CO
Journal title
Journal of New Music Research
Volume
vol. 33
Issue
iss. 1
Page start
p. 31
Page end
p. 48
Subject
Action, intention, and motor controlAbstract
A model is proposed for the On-Line Harmonic Processing (OLHP) of tonal melodic sequences in which each incoming tone is described in terms of its features Fittingness, compliance with the previous harmony, Uncertainty, ambiguity of a new harmony and, Chord Change, goodness of the connection between previous and new harmony. To test this model in Experiment 1 listeners rated the musical logic of 10-tone sequences presented with an induced segmentation in groups of 3-3-3-1, and following an harmonic progression of I-target-V-I, respectively, with the harmonic functions I, II, III, IV, V, or VI inserted as target fragment. The results support the Chord Change feature of the model. In Experiment 2 these sequences were rated as tone-by-tone increasing fragments, starting from the initial 3 tones up to the complete sequence. The ratings of the incremental sequences supported the findings of the first experiment. The three features in the model explained 46.4 % of the variance in the target ratings, although Uncertainty seemed to have no effect. In a comparison with two other models OLHP model performed best. Finally, an a-posteriori model consisting of Chord Change and a variable quantifying pitch proximity between consecutive tones accounted for a major part of the variance. It is concluded that listeners employ OLHP's features in their representation of the sequences and that both harmony and pitch height are indispensable factors in a model of melody perception.
This item appears in the following Collection(s)
- Academic publications [242559]
- Electronic publications [129545]
- Faculty of Social Sciences [29964]
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.