Abstract: Insect audio classification has witnessed substantial advancements in recent years, facilitated by the development of CNNs and deep learning architectures, which have demonstrated improved ...
Abstract: In this paper, we propose an audio spectrogram transformer (AST) for sequential inference and evaluate its real- time performance. ASTs are pre-trained in a self-supervised manner, such as ...
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