{"pk":25935,"title":"A Computational Model of Jazz Improvisation Inspired by Language","subtitle":null,"abstract":"This paper presents a novel computational model of jazz improvisation based on n-gram language models. Recent\nfunctional neuroimaging studies suggest that the brain processes structural elements of improvised music and conversational\nlanguage in a similar manner. We hypothesized that if musi- cal improvisation and language share a common cognitive and\nneurological foundation, then statistical techniques for modeling one domain should be capable of successfully modeling the\nother domain. Accordingly, we demonstrate that n-grams (an archetypal language model) can successfully model jazz improvisation\nwhen trained on a large corpus of expert-level jazz saxophone solos. Furthermore, we propose perplexity as a novel\nmethod of evaluation of jazz improvisation models.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Member Abstracts","is_remote":true,"remote_url":"https://escholarship.org/uc/item/0sr389qz","frozenauthors":[{"first_name":"Cody","middle_name":"","last_name":"Komers","name_suffix":"","institution":"University of California, Los Angeles","department":""},{"first_name":"Alan","middle_name":"","last_name":"Yuille","name_suffix":"","institution":"University of California, Los Angeles","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/25935/galley/15559/download/"}]}