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

Avi Gazneli, Gadi Zimerman, Tal Ridnik +2

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 fo…