ASiT: Local-Global Audio Spectrogram Vision Transformer for Event Classification

Overview of attention for article published in IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), July 2024

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In the top 25% of all research outputs scored by Altmetric
Among the highest-scoring outputs from this source (#44 of 1,164)
High Attention Score compared to outputs of the same age (89th percentile)
High Attention Score compared to outputs of the same age and source (81st percentile)

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ASiT: Local-Global Audio Spectrogram vIsion Transformer for Event Classification. https://t.co/kgabh3QMKJ

``ASiT: Local-Global Audio Spectrogram vIsion Transformer for Event Classification,'' Sara Atito, Muhammad Awais, Wenwu Wang, Mark D Plumbley, Josef Kittler, https://t.co/PgYb225z4P

RT @csteinmetz1: New self-supervised audio repr leads to SOTA across AS-20K, ESC-50, SC, and SID with AS-2M pretraining (GMML + self-distil…

https://t.co/eZWR1i4UeA 🗜88% In this paper, we propose a novel self- self- supervised group information representation for general audio representations that captures local and global contextual information.

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