{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T07:09:54Z","timestamp":1761894594159,"version":"build-2065373602"},"reference-count":35,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/icme59968.2025.11209446","type":"proceedings-article","created":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T17:57:42Z","timestamp":1761847062000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["BeatFM: Improving Beat Tracking with Pre-trained Music Foundation Model"],"prefix":"10.1109","author":[{"given":"Ganghui","family":"Ru","sequence":"first","affiliation":[{"name":"Fudan University,School of Computer Science,Shanghai,China"}]},{"given":"Jieying","family":"Wang","sequence":"additional","affiliation":[{"name":"PLA,Naval Medical Center,China"}]},{"given":"Jiahao","family":"Zhao","sequence":"additional","affiliation":[{"name":"Kyoto University,Graduate School of Informatics,Kyoto,Japan"}]},{"given":"Yulun","family":"Wu","sequence":"additional","affiliation":[{"name":"Fudan University,School of Computer Science,Shanghai,China"}]},{"given":"Yi","family":"Yu","sequence":"additional","affiliation":[{"name":"Hiroshima University,Graduate School of Advanced Science and Engineering,Hiroshima,Japan"}]},{"given":"Nannan","family":"Jiang","sequence":"additional","affiliation":[{"name":"PLA,Naval Medical Center,China"}]},{"given":"Wei","family":"Wang","sequence":"additional","affiliation":[{"name":"PLA,Naval Medical Center,China"}]},{"given":"Wei","family":"Li","sequence":"additional","affiliation":[{"name":"Fudan University,School of Computer Science,Shanghai,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2012.6287835"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2013.2294580"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10097241"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3572031"},{"key":"ref5","first-page":"574","article-title":"Deconstruct, analyse, reconstruct: How to improve tempo, beat, and downbeat estimation","volume-title":"ISMIR","author":"B\u00f6ck"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747048"},{"article-title":"Beat transformer: Demixed beat and downbeat tracking with dilated self-attention","year":"2022","author":"Zhao","key":"ref7"},{"article-title":"Beat this! accurate beat tracking without dbn postprocessing","year":"2024","author":"Foscarin","key":"ref8"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1076\/jnmr.30.2.159.7114"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1076\/jnmr.30.1.39.7119"},{"key":"ref11","first-page":"255","article-title":"Joint beat and downbeat tracking with recurrent neural networks","volume-title":"ISMIR","author":"B\u00f6ck"},{"key":"ref12","first-page":"346","article-title":"Beat and downbeat tracking of symbolic music data using deep recurrent neural networks","volume-title":"APSIPA ASC","author":"Chuang"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2016.2623565"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10095482"},{"key":"ref15","first-page":"486","article-title":"Multi-task learning of tempo and beat: Learning one to improve the other","volume-title":"ISMIR","author":"B\u00f6ck"},{"key":"ref16","first-page":"466","article-title":"Transformer-based beat tracking with low-resolution encoder and high-resolution decoder","volume-title":"ISMIR","author":"Cheng"},{"article-title":"Singing beat tracking with self-supervised front-end and linear transformers","year":"2022","author":"Heydari","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2023.3297963"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2023.3297956"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10447445"},{"article-title":"Mert: Acoustic music understanding model with large-scale self-supervised training","volume-title":"ICLR","author":"Yizhi","key":"ref21"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10448314"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.cortex.2008.05.014"},{"key":"ref24","first-page":"72","article-title":"An efficient state-space model for joint tempo and meter tracking","volume-title":"ISMIR","author":"Krebs"},{"key":"ref25","article-title":"Evaluation methods for musical audio beat tracking algorithms","volume-title":"Queen Mary University of London, Centre for Digital Music, Tech. Rep. C4DM-TR-09-06","author":"Davies","year":"2009"},{"key":"ref26","first-page":"287","article-title":"Rwc music database: Popular, classical and jazz music databases","volume-title":"ISMIR","volume":"2","author":"Goto"},{"key":"ref27","first-page":"565","article-title":"The harmonix set: Beats, downbeats, and functional segment annotations of western popular music","volume-title":"ISMIR","author":"Nieto"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TSA.2005.858509"},{"key":"ref29","first-page":"227","article-title":"Rhythmic pattern modeling for beat and downbeat tracking in musical audio","volume-title":"ISMIR","author":"Krebs"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1155\/S1110865704408099"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2012.2205244"},{"article-title":"Swing ratio estimation","year":"2015","author":"Marchand","key":"ref32"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TSA.2002.800560"},{"key":"ref34","first-page":"2014","article-title":"Mir eval: A transparent implementation of common mir metrics","volume-title":"ISMIR","volume":"10","author":"Raffel"},{"key":"ref35","first-page":"3915","article-title":"Self-supervised learning with random-projection quantizer for speech recognition","volume-title":"International Conference on Machine Learning","author":"Chiu"}],"event":{"name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","start":{"date-parts":[[2025,6,30]]},"location":"Nantes, France","end":{"date-parts":[[2025,7,4]]}},"container-title":["2025 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11208895\/11208897\/11209446.pdf?arnumber=11209446","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T05:31:27Z","timestamp":1761888687000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11209446\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/icme59968.2025.11209446","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}