{"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/sound2synth-interpreting-sound-via-fm","title":"Sound2Synth: Interpreting Sound via FM Synthesizer Parameters Estimation","arxiv_id":"2205.03043","date":"2022-05-06","proceeding":null,"authors":["Zui Chen","Yansen Jing","Shengcheng Yuan","Yifei Xu","Jian Wu","Hang Zhao"],"abstract":"Synthesizer is a type of electronic musical instrument that is now widely used in modern music production and sound design. Each parameters configuration of a synthesizer produces a unique timbre and can be viewed as a unique instrument. The problem of estimating a set of parameters configuration that best restore a sound timbre is an important yet complicated problem, i.e.: the synthesizer parameters estimation problem. We proposed a multi-modal deep-learning-based pipeline Sound2Synth, together with a network structure Prime-Dilated Convolution (PDC) specially designed to solve this problem. Our method achieved not only SOTA but also the first real-world applicable results on Dexed synthesizer, a popular FM synthesizer.","url_abs":"https://arxiv.org/abs/2205.03043v2","url_pdf":"https://arxiv.org/pdf/2205.03043v2.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":"sound2synth-interpreting-sound-via-fm","repo_url":"https://github.com/Sound2Synth/Sound2Synth","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"audio-classification","task_name":"Audio Classification"},{"task_slug":"audio-signal-processing","task_name":"Audio Signal Processing"}],"methods":[{"method_slug":"convolution","method_name":"Convolution"},{"method_slug":"dilated-convolution","method_name":"Dilated Convolution"},{"method_slug":"pdc","method_name":"PDC"}],"datasets_introduced":[],"methods_introduced":[{"slug":"pdc","name":"PDC","full_name":"Prime Dilated Convolution"}],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2205.03043","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}