{"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/multi-level-and-multi-scale-feature-1","title":"Multi-Level and Multi-Scale Feature Aggregation Using Sample-level Deep Convolutional Neural Networks for Music Classification","arxiv_id":"1706.06810","date":"2017-06-21","proceeding":null,"authors":["Jongpil Lee","Juhan Nam"],"abstract":"Music tag words that describe music audio by text have different levels of\nabstraction. Taking this issue into account, we propose a music classification\napproach that aggregates multi-level and multi-scale features using pre-trained\nfeature extractors. In particular, the feature extractors are trained in\nsample-level deep convolutional neural networks using raw waveforms. We show\nthat this approach achieves state-of-the-art results on several music\nclassification datasets.","url_abs":"http://arxiv.org/abs/1706.06810v1","url_pdf":"http://arxiv.org/pdf/1706.06810v1.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":"multi-level-and-multi-scale-feature-1","repo_url":"https://github.com/jongpillee/music_dataset_split","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"music-classification","task_name":"Music Classification"},{"task_slug":"tag","task_name":"TAG"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}