{"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/chord-recognition-in-symbolic-music-a","title":"Chord Recognition in Symbolic Music: A Segmental CRF Model, Segment-Level Features, and Comparative Evaluations on Classical and Popular Music","arxiv_id":"1810.10002","date":"2018-10-22","proceeding":null,"authors":["Kristen Masada","Razvan Bunescu"],"abstract":"We present a new approach to harmonic analysis that is trained to segment\nmusic into a sequence of chord spans tagged with chord labels. Formulated as a\nsemi-Markov Conditional Random Field (semi-CRF), this joint segmentation and\nlabeling approach enables the use of a rich set of segment-level features, such\nas segment purity and chord coverage, that capture the extent to which the\nevents in an entire segment of music are compatible with a candidate chord\nlabel. The new chord recognition model is evaluated extensively on three\ncorpora of classical music and a newly created corpus of rock music.\nExperimental results show that the semi-CRF model performs substantially better\nthan previous approaches when trained on a sufficient number of labeled\nexamples and remains competitive when the amount of training data is limited.","url_abs":"http://arxiv.org/abs/1810.10002v2","url_pdf":"http://arxiv.org/pdf/1810.10002v2.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":"chord-recognition-in-symbolic-music-a","repo_url":"https://github.com/kristenmasada/chord_recognition_semi_crf","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"chord-recognition","task_name":"Chord Recognition"}],"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}