{"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/automatic-instrument-recognition-in","title":"Automatic Instrument Recognition in Polyphonic Music Using Convolutional Neural Networks","arxiv_id":"1511.05520","date":"2015-11-17","proceeding":null,"authors":["Peter Li","Jiyuan Qian","Tian Wang"],"abstract":"Traditional methods to tackle many music information retrieval tasks\ntypically follow a two-step architecture: feature engineering followed by a\nsimple learning algorithm. In these \"shallow\" architectures, feature\nengineering and learning are typically disjoint and unrelated. Additionally,\nfeature engineering is difficult, and typically depends on extensive domain\nexpertise.\n  In this paper, we present an application of convolutional neural networks for\nthe task of automatic musical instrument identification. In this model, feature\nextraction and learning algorithms are trained together in an end-to-end\nfashion. We show that a convolutional neural network trained on raw audio can\nachieve performance surpassing traditional methods that rely on hand-crafted\nfeatures.","url_abs":"http://arxiv.org/abs/1511.05520v1","url_pdf":"http://arxiv.org/pdf/1511.05520v1.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":"automatic-instrument-recognition-in","repo_url":"https://github.com/glennq/instrument-recognition","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"feature-engineering","task_name":"Feature Engineering"},{"task_slug":"information-retrieval","task_name":"Information Retrieval"},{"task_slug":"instrument-recognition","task_name":"Instrument Recognition"},{"task_slug":"music-information-retrieval","task_name":"Music Information Retrieval"},{"task_slug":"retrieval","task_name":"Retrieval"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}