End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification Network

1 code implementation • 25 Apr 2022 • Avi Gazneli, Gadi Zimerman, Tal Ridnik, Gilad Sharir, Asaf Noy

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.

Environmental Sound Classification Keyword Spotting +2