{"pk":25389,"title":"Harmonics co-occurrences bootstrap pitch and tonality perception in music: Evidence from a statistical unsupervised learning model","subtitle":null,"abstract":"The ability to extract meaningful relationships from sequences\nis crucial to many aspects of perception and cognition, such\nas speech and music. This paper explores how leading\ncomputational techniques may be used to model how humans\nlearn abstract musical relationships, namely, tonality\nand octave equivalence. Rather than hard-coding musical\nrules, this model uses an unsupervised learning approach to\nglean tonal relationships from a musical corpus. We develop\nand test a novel input representation technique, using a\nperceptually-inspired harmonics-based representation, to bootstrap\nthe model’s learning of tonal structure. The results are\ncompared with behavioral data from listeners’ performance on\na standard music perception task: the model effectively encodes\ntonal relationships from musical data, simulating expert\nperformance on the listening task. Lastly, the results are contrasted\nwith previous findings from a computational model that\nuses a more simple symbolic input representation of pitch.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"Music perception; tonality; unsupervised learning;\nRestricted Boltzman Machines"}],"section":"Papers","is_remote":true,"remote_url":"https://escholarship.org/uc/item/4wm9t397","frozenauthors":[{"first_name":"Kat","middle_name":"","last_name":"Agres","name_suffix":"","institution":"Queen Mary, University of London","department":""},{"first_name":"Carlos","middle_name":"","last_name":"Cancino","name_suffix":"","institution":"Austrian Research Institute for Artificial Intelligence","department":""},{"first_name":"Maarten","middle_name":"","last_name":"Grachten","name_suffix":"","institution":"Austrian Research Institute for Artificial Intelligence","department":""},{"first_name":"Stefan","middle_name":"","last_name":"Lattner","name_suffix":"","institution":"Austrian Research Institute for Artificial Intelligence","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2015-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/25389/galley/15013/download/"}]}