Melodic similarity as a determinant of melody structure
Ahlbäck, S. (2007). Melodic similarity as a determinant of melody structure. Musicae Scientiae, Discussion Forum 4A, 235-280.
Authors
Date
2007Access restrictions
This paper presents an approach to the analysis of melodic similarity as a determinant of melody structure, which has been applied successfully as a computational system of analysis for the prediction of segmental structure in a large sample of monophonic melodies of diverse cultural origin. (Ahlbäck 2004) Although the impact of similarity in the determination of segmental structure in music is generally acknowledged, methods based on similarity have been criticized with regards to the difficulty of formalizing criteria and threshold values for structurally significant similarity (e.g. Cook 1987). It is herein maintained that, since similarity is a fundamentally relative concept and categorization of similarity and difference relates to a given context, segmentation based on similarity requires a context-sensitive parametric measure of similarity.
The proposed method of analysis is based on common psychological principles such as gestalt psychological principles, human perceptual and cognitive limitations regarding temporal frames of attention, simultaneous category handling and cognition of temporal proportions.
The core hypothesis of the model is that melodic segmentation at a structural level is primarily established by similarity, in particular repetition of melodic content, and dissimilarity, in particular discontinuity of melodic processes. It is discussed how the influence of melodic similarity on segment structure is dependent upon general features of musical structure, such as metrical structure. This notion is supported by the results of an experiment, which indicates that listeners do not make use of repetitions of pitch sequences for melodic segmentation when these are in conflict with the perceived general beat structure.
The influence of metrical context is handled within the method, as well as the means of allowing for different levels of similarity through a categorization of different types and degree of similarity. This is illustrated by an example analysis of a melody in which the segmental structure is determined by melodic similarity of different types, the result of which is evaluated by a listener test. The result supports the notion that structurally significant similarity is relative and contextual and indicates that this is possible to model formally within a rule-based, style- independent method of analysis.
...


Metadata
Show full item recordRelated items
Showing items with similar title or keywords.
-
The perception of structural boundaries in melody lines of Western popular music
Bruderer, Michael J.; McKinney, Martin F.; Kohlrausch, Armin (2009)Two experiments were conducted to investigate the perception of structural boundaries in six popular music songs. In the segmentation experiment, participants were asked to indicate perceived segment boundaries in monophonic ... -
A hierarchical cluster analysis to determine whether injured runners exhibit similar kinematic gait patterns
Jauhiainen, Susanne; Pohl, Andrew J.; Äyrämö, Sami; Kauppi, Jukka-Pekka; Ferber, Reed (Wiley-Blackwell, 2020)Previous studies have suggested that runners can be subgrouped based on homogeneous gait patterns, however, no previous study has assessed the presence of such subgroups in a population of individuals across a wide variety ... -
CCDC 1523875: Experimental Crystal Structure Determination
Helttunen, Kaisa; Taipaleenmäki, Essi; Nissinen, Maija (University of Jyväskylä; Contact details: Open Science Centre, University of Jyväskylä, email: jyx@jyu.fi, website: https://osc.jyu.fi/en, 2017) -
CCDC 1455102: Experimental Crystal Structure Determination
Suhonen, Aku; Nissinen, Maija (University of Jyväskylä; Contact details: Open Science Centre, University of Jyväskylä, email: jyx@jyu.fi, website: https://osc.jyu.fi/en, 2016) -
CCDC 1524101: Experimental Crystal Structure Determination
Helttunen, Kaisa; Nissinen, Maija (University of Jyväskylä; Contact details: Open Science Centre, University of Jyväskylä, email: jyx@jyu.fi, website: https://osc.jyu.fi/en, 2017)