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Hierarchical syntactic structure predicts listeners’ sequence completion in music
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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Music Cognition: The Complexity of Musical Structure
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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Hierarchical syntactic structure predicts listeners’ sequence completion in music
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In: http://infoscience.epfl.ch/record/290864 (2021)
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Hierarchical syntactic structure predicts listeners’ sequence completion in music ...
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Discretisation and Continuity: Simulating the Emergence of Symbols in Communication Games ...
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Discretisation and Continuity: Simulating the Emergence of Symbols in Communication Games ...
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Music Cognition: The Complexity of Musical Structure
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In: http://infoscience.epfl.ch/record/290877 (2021)
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Generalized Skipgrams for Pattern Discovery in Polyphonic Streams
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In: http://infoscience.epfl.ch/record/270788 (2019)
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Generalized Skipgrams for Pattern Discovery in Polyphonic Streams ...
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Generalized Skipgrams for Pattern Discovery in Polyphonic Streams ...
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Processing of hierarchical syntactic structure in music
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In: National Academy of Sciences (U.S.) (2013)
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Artificial Grammar Learning of Melody Is Constrained by Melodic Inconsistency: Narmour's Principles Affect Melodic Learning
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In: PLoS (2012)
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Abstract:
Considerable evidence suggests that people acquire artificial grammars incidentally and implicitly, an indispensable capacity for the acquisition of music or language. However, less research has been devoted to exploring constraints affecting incidental learning. Within the domain of music, the extent to which Narmour's (1990) melodic principles affect implicit learning of melodic structure was experimentally explored. Extending previous research (Rohrmeier, Rebuschat & Cross, 2011), the identical finite-state grammar is employed having terminals (the alphabet) manipulated so that melodies generated systematically violated Narmour's principles. Results indicate that Narmour-inconsistent melodic materials impede implicit learning. This further constitutes a case in which artificial grammar learning is affected by prior knowledge or processing constraints. ; Microsoft Research (Microsoft European PhD Scholarship Programme) ; Arts & Humanities Research Council (Great Britain)
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URL: http://hdl.handle.net/1721.1/80717
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