{"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/end-to-end-audio-strikes-back-boosting","title":"End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification Network","arxiv_id":"2204.11479","date":"2022-04-25","proceeding":null,"authors":["Avi Gazneli","Gadi Zimerman","Tal Ridnik","Gilad Sharir","Asaf Noy"],"abstract":"While efficient architectures and a plethora of augmentations for end-to-end image classification tasks have been suggested and heavily investigated, state-of-the-art techniques for audio classifications still rely on numerous representations of the audio signal together with large architectures, fine-tuned from large datasets. By utilizing the inherited lightweight nature of audio and novel audio augmentations, we were able to present an efficient end-to-end network with strong generalization ability. Experiments on a variety of sound classification sets demonstrate the effectiveness and robustness of our approach, by achieving state-of-the-art results in various settings. Public code is available at: \\href{https://github.com/Alibaba-MIIL/AudioClassfication}{this http url}","url_abs":"https://arxiv.org/abs/2204.11479v5","url_pdf":"https://arxiv.org/pdf/2204.11479v5.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":"end-to-end-audio-strikes-back-boosting","repo_url":"https://github.com/Alibaba-MIIL/AudioClassfication","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"audio-classification","task_name":"Audio Classification"},{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"environmental-sound-classification","task_name":"Environmental Sound Classification"},{"task_slug":"keyword-spotting","task_name":"Keyword Spotting"},{"task_slug":null,"task_name":"Keyword Spotting on Google Speech Commands"},{"task_slug":"sound-classification","task_name":"Sound Classification"},{"task_slug":"image-classification","task_name":"image-classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/audio-classification-on-audioset","task":"Audio Classification","dataset":"AudioSet","model":"EAT-M","rank_in_archive_order":42,"of":51,"metrics":{"Test mAP":"0.426"},"uses_additional_data":false},{"leaderboard":"/sota/audio-classification-on-audioset","task":"Audio Classification","dataset":"AudioSet","model":"EAT-S","rank_in_archive_order":44,"of":51,"metrics":{"Test mAP":"0.405"},"uses_additional_data":false},{"leaderboard":"/sota/audio-classification-on-esc-50","task":"Audio Classification","dataset":"ESC-50","model":"EAT-M","rank_in_archive_order":11,"of":29,"metrics":{"Accuracy (5-fold)":"96.3","PRE-TRAINING DATASET":"AudioSet","Top-1 Accuracy":"96.3"},"uses_additional_data":true},{"leaderboard":"/sota/audio-classification-on-esc-50","task":"Audio Classification","dataset":"ESC-50","model":"EAT-S","rank_in_archive_order":17,"of":29,"metrics":{"Accuracy (5-fold)":"95.25","PRE-TRAINING DATASET":"AudioSet","Top-1 Accuracy":"95.25"},"uses_additional_data":true},{"leaderboard":"/sota/audio-classification-on-esc-50","task":"Audio Classification","dataset":"ESC-50","model":"EAT-S (scratch)","rank_in_archive_order":19,"of":29,"metrics":{"Accuracy (5-fold)":"92.15","Top-1 Accuracy":"92.15"},"uses_additional_data":false},{"leaderboard":"/sota/keyword-spotting-on-google-speech-commands","task":"Keyword Spotting","dataset":"Google Speech Commands","model":"EAT-S","rank_in_archive_order":31,"of":42,"metrics":{"Google Speech Commands V2 35":"98.15"},"uses_additional_data":false}],"syntology":{"syntology_url":"https://syntology.ai/paper/2204.11479","atlas_url":"https://app.syntology.ai/?focus=2204.11479","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}