{"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/modeling-of-nonlinear-audio-effects-with-end","title":"Modeling of nonlinear audio effects with end-to-end deep neural networks","arxiv_id":"1810.06603","date":"2018-10-15","proceeding":null,"authors":["Marco Martínez","Joshua D. Reiss"],"abstract":"In the context of music production, distortion effects are mainly used for\naesthetic reasons and are usually applied to electric musical instruments. Most\nexisting methods for nonlinear modeling are often either simplified or\noptimized to a very specific circuit. In this work, we investigate deep\nlearning architectures for audio processing and we aim to find a general\npurpose end-to-end deep neural network to perform modeling of nonlinear audio\neffects. We show the network modeling various nonlinearities and we discuss the\ngeneralization capabilities among different instruments.","url_abs":"http://arxiv.org/abs/1810.06603v2","url_pdf":"http://arxiv.org/pdf/1810.06603v2.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":"modeling-of-nonlinear-audio-effects-with-end","repo_url":"https://github.com/mchijmma/modeling-nonlinear","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1810.06603","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}