The current state-of-the-art on AudioSet is OmniVec. See a full comparison of 41 papers with code.
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The current state-of-the-art on AudioSet is OmniVec. See a full comparison of 41 papers with code.
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Audio Classification** is a machine learning task that involves identifying and tagging audio signals into different classes or categories.
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The current state-of-the-art on ESC-50 is InternVideo2. See a full comparison of 22 papers with code.
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The current state-of-the-art on AudioSet is LanguageBind(FT). See a full comparison of 4 papers with code.
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The dataset contains a total of 350 files of precisely labelled 10-minute audio recordings across all caller classes. The audio was recorded from five pairs of ...
The current state-of-the-art on Balanced Audio Set is BEATs. See a full comparison of 5 papers with code.
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Jun 1, 2023 · In this paper, we first implement DSC into the Pretrained Audio ... Our PyTorch source code and checkpoint models are available at this https URL.
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