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{ "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": "2015-01-01T19:00:00+01:00", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/25935/galley/15559/download/" } ] }