{"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/wavetable-synthesis-using-cvae-for-timbre","title":"Wavetable Synthesis Using CVAE for Timbre Control Based on Semantic Label","arxiv_id":"2410.18628","date":"2024-10-24","proceeding":null,"authors":["Tsugumasa Yutani","Yuya Yamamoto","Shuyo Nakatani","Hiroko Terasawa"],"abstract":"Synthesizers are essential in modern music production. However, their complex timbre parameters, often filled with technical terms, require expertise. This research introduces a method of timbre control in wavetable synthesis that is intuitive and sensible and utilizes semantic labels. Using a conditional variational autoencoder (CVAE), users can select a wavetable and define the timbre with labels such as bright, warm, and rich. The CVAE model, featuring convolutional and upsampling layers, effectively captures the wavetable nuances, ensuring real-time performance owing to their processing in the time domain. Experiments demonstrate that this approach allows for real-time, effective control of the timbre of the wavetable using semantic inputs and aims for intuitive timbre control through data-based semantic control.","url_abs":"https://arxiv.org/abs/2410.18628v1","url_pdf":"https://arxiv.org/pdf/2410.18628v1.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":"wavetable-synthesis-using-cvae-for-timbre","repo_url":"https://github.com/tsugumasa320/wavetablecvae","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"wavetable-synthesis-using-cvae-for-timbre","repo_url":"https://github.com/tsugumasa320/WavetableCVAE_Plugin","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[{"method_slug":"cvae","method_name":"cVAE"}],"datasets_introduced":[{"slug":"single-cycle-waveforms","name":"Single cycle waveforms","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}