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

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, fi...

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Veröffentlicht in:	arXiv.org 2022-07
Hauptverfasser:	Gazneli, Avi, Zimerman, Gadi, Ridnik, Tal, Sharir, Gilad, Noy, Asaf
Format:	Artikel
Sprache:	eng
Schlagworte:	Image classification
Online-Zugang:	Volltext
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