{"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/sound-demixing-challenge-2023-music-demixing","title":"Sound Demixing Challenge 2023 Music Demixing Track Technical Report: TFC-TDF-UNet v3","arxiv_id":"2306.09382","date":"2023-06-15","proceeding":null,"authors":["Minseok Kim","Jun Hyung Lee","Soonyoung Jung"],"abstract":"In this report, we present our award-winning solutions for the Music Demixing Track of Sound Demixing Challenge 2023. First, we propose TFC-TDF-UNet v3, a time-efficient music source separation model that achieves state-of-the-art results on the MUSDB benchmark. We then give full details regarding our solutions for each Leaderboard, including a loss masking approach for noise-robust training. Code for reproducing model training and final submissions is available at github.com/kuielab/sdx23.","url_abs":"https://arxiv.org/abs/2306.09382v3","url_pdf":"https://arxiv.org/pdf/2306.09382v3.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":"sound-demixing-challenge-2023-music-demixing","repo_url":"https://github.com/kuielab/sdx23","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"music-source-separation","task_name":"Music Source Separation"}],"methods":[{"method_slug":"focus","method_name":"Focus"}],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/music-source-separation-on-musdb18","task":"Music Source Separation","dataset":"MUSDB18","model":"TFC-TDF-UNet (v3)","rank_in_archive_order":4,"of":27,"metrics":{"SDR (avg)":"8.34","SDR (bass)":"8.45","SDR (drums)":"8.44","SDR (other)":"6.86","SDR (vocals)":"9.59"},"uses_additional_data":false},{"leaderboard":"/sota/music-source-separation-on-musdb18-hq","task":"Music Source Separation","dataset":"MUSDB18-HQ","model":"TFC-TDF-UNet (v3)","rank_in_archive_order":8,"of":14,"metrics":{"SDR (avg)":"8.34","SDR (bass)":"8.45","SDR (drums)":"8.44","SDR (others)":"6.86","SDR (vocals)":"9.59"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}