{"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/end-to-end-lyrics-alignment-for-polyphonic","title":"End-to-end Lyrics Alignment for Polyphonic Music Using an Audio-to-Character Recognition Model","arxiv_id":"1902.06797","date":"2019-02-18","proceeding":null,"authors":["Daniel Stoller","Simon Durand","Sebastian Ewert"],"abstract":"Time-aligned lyrics can enrich the music listening experience by enabling\nkaraoke, text-based song retrieval and intra-song navigation, and other\napplications. Compared to text-to-speech alignment, lyrics alignment remains\nhighly challenging, despite many attempts to combine numerous sub-modules\nincluding vocal separation and detection in an effort to break down the\nproblem. Furthermore, training required fine-grained annotations to be\navailable in some form. Here, we present a novel system based on a modified\nWave-U-Net architecture, which predicts character probabilities directly from\nraw audio using learnt multi-scale representations of the various signal\ncomponents. There are no sub-modules whose interdependencies need to be\noptimized. Our training procedure is designed to work with weak, line-level\nannotations available in the real world. With a mean alignment error of 0.35s\non a standard dataset our system outperforms the state-of-the-art by an order\nof magnitude.","url_abs":"http://arxiv.org/abs/1902.06797v1","url_pdf":"http://arxiv.org/pdf/1902.06797v1.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":"end-to-end-lyrics-alignment-for-polyphonic","repo_url":"https://github.com/f90/jamendolyrics","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"end-to-end-lyrics-alignment-for-polyphonic","repo_url":"https://github.com/guxm2021/alt_speechbrain","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}}],"tasks":[{"task_slug":"retrieval","task_name":"Retrieval"},{"task_slug":"text-to-speech","task_name":"Text to Speech"},{"task_slug":"text-to-speech-1","task_name":"text-to-speech"}],"methods":[],"datasets_introduced":[{"slug":"jamendo-lyrics","name":"Jamendo Lyrics","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}