{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/quantifying-musical-style-ranking-symbolic","title":"Quantifying Musical Style: Ranking Symbolic Music based on Similarity to a Style","arxiv_id":"2003.06226","date":"2020-03-10","proceeding":null,"authors":[],"abstract":"Modelling human perception of musical similarity is critical for the\nevaluation of generative music systems, musicological research, and many Music\nInformation Retrieval tasks. Although human similarity judgments are the gold\nstandard, computational analysis is often preferable, since results are often\neasier to reproduce, and computational methods are much more scalable.\nMoreover, computation based approaches can be calculated quickly and on demand,\nwhich is a prerequisite for use with an online system. We propose StyleRank, a\nmethod to measure the similarity between a MIDI file and an arbitrary musical\nstyle delineated by a collection of MIDI files. MIDI files are encoded using a\nnovel set of features and an embedding is learned using Random Forests.\nExperimental evidence demonstrates that StyleRank is highly correlated with\nhuman perception of stylistic similarity, and that it is precise enough to rank\ngenerated samples based on their similarity to the style of a corpus. In\naddition, similarity can be measured with respect to a single feature, allowing\nspecific discrepancies between generated samples and a particular musical style\nto be identified.","url_abs":"http://arxiv.org/abs/2003.06226v1","url_pdf":"http://arxiv.org/pdf/2003.06226v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"quantifying-musical-style-ranking-symbolic","repo_url":"https://github.com/jeffreyjohnens/style_rank","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"information-retrieval","task_name":"Information Retrieval"},{"task_slug":"music-information-retrieval","task_name":"Music Information Retrieval"},{"task_slug":"retrieval","task_name":"Retrieval"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}