{"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/micaugment-one-shot-microphone-style-transfer","title":"MicAugment: One-shot Microphone Style Transfer","arxiv_id":"2010.09658","date":"2020-10-19","proceeding":null,"authors":["Zalán Borsos","Yunpeng Li","Beat Gfeller","Marco Tagliasacchi"],"abstract":"A crucial aspect for the successful deployment of audio-based models \"in-the-wild\" is the robustness to the transformations introduced by heterogeneous acquisition conditions. In this work, we propose a method to perform one-shot microphone style transfer. Given only a few seconds of audio recorded by a target device, MicAugment identifies the transformations associated to the input acquisition pipeline and uses the learned transformations to synthesize audio as if it were recorded under the same conditions as the target audio. We show that our method can successfully apply the style transfer to real audio and that it significantly increases model robustness when used as data augmentation in the downstream tasks.","url_abs":"https://arxiv.org/abs/2010.09658v1","url_pdf":"https://arxiv.org/pdf/2010.09658v1.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":"micaugment-one-shot-microphone-style-transfer","repo_url":"https://github.com/akashrajkn/micaugment","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"micaugment-one-shot-microphone-style-transfer","repo_url":"https://github.com/MindSpore-scientific-2/code-4/tree/main/MicAugment","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"micaugment-one-shot-microphone-style-transfer","repo_url":"https://github.com/MindSpore-scientific/code-1/tree/main/MicAugment","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"micaugment-one-shot-microphone-style-transfer","repo_url":"https://github.com/MindSpore-scientific/code-11/tree/main/MicAugment","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"micaugment-one-shot-microphone-style-transfer","repo_url":"https://github.com/pwc-1/Paper-9/tree/main/7/MicAugment","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null}],"tasks":[{"task_slug":"data-augmentation","task_name":"Data Augmentation"},{"task_slug":"style-transfer","task_name":"Style Transfer"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}