{"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/disambiguating-music-artists-at-scale-with","title":"Disambiguating Music Artists at Scale with Audio Metric Learning","arxiv_id":"1810.01807","date":"2018-10-03","proceeding":null,"authors":["Jimena Royo-Letelier","Romain Hennequin","Viet-Anh Tran","Manuel Moussallam"],"abstract":"We address the problem of disambiguating large scale catalogs through the\ndefinition of an unknown artist clustering task. We explore the use of metric\nlearning techniques to learn artist embeddings directly from audio, and using a\ndedicated homonym artists dataset, we compare our method with a recent approach\nthat learn similar embeddings using artist classifiers. While both systems have\nthe ability to disambiguate unknown artists relying exclusively on audio, we\nshow that our system is more suitable in the case when enough audio data is\navailable for each artist in the train dataset. We also propose a new negative\nsampling method for metric learning that takes advantage of side information\nsuch as music genre during the learning phase and shows promising results for\nthe artist clustering task.","url_abs":"http://arxiv.org/abs/1810.01807v1","url_pdf":"http://arxiv.org/pdf/1810.01807v1.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":"disambiguating-music-artists-at-scale-with","repo_url":"https://github.com/deezer/Disambiguating-Music-Artists-at-Scale-with-Audio-Metric-Learning","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"clustering","task_name":"Clustering"},{"task_slug":"metric-learning","task_name":"Metric Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}