A Probabilistic Model of Melody Perception

Autor/in	Temperley, David
Titel	A Probabilistic Model of Melody Perception
Quelle	In: Cognitive Science, 32 (2008) 2, S.418-444 (27 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0364-0213
Schlagwörter	Expectation; Intervals; Probability; Information Retrieval; Models; Auditory Perception; Music; Cognitive Processes; Learning Theories + Suchen Sie Ihr Suchwort? Expectancy; Erwartung; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Analogiemodell; Auditive Wahrnehmung; Akustische Wahrnehmung; Akustik; Musik; Cognitive process; Kognitiver Prozess; Learning theory; Lerntheorie
Abstract	This study presents a probabilistic model of melody perception, which infers the key of a melody and also judges the probability of the melody itself. The model uses Bayesian reasoning: For any "surface" pattern and underlying "structure," we can infer the structure maximizing P(structure [vertical bar] surface) based on knowledge of P(surface, structure). The probability of the surface can then be calculated as the sum of P(surface, structure), summed over all structures. In this case, the surface is a pattern of notes; the structure is a key. A generative model is proposed, based on three principles: (a) melodies tend to remain within a narrow pitch range; (b) note-to-note intervals within a melody tend to be small; and (c) notes tend to conform to a distribution (or key profile) that depends on the key. The model is tested in three ways. First, it is tested on its ability to identify the keys of a set of folksong melodies. Second, it is tested on a melodic expectation task in which it must judge the probability of different notes occurring given a prior context; these judgments are compared with perception data from a melodic expectation experiment. Finally, the model is tested on its ability to detect incorrect notes in melodies by assigning them lower probabilities than the original versions. (Contains 10 figures, 2 tables, and 18 notes.) (Author).
Anmerkungen	Lawrence Erlbaum. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals/default.html
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10