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.
Ranked #2 on Environmental Sound Classification on UrbanSound8K (using extra training data)