Audio Set is a large scale weakly labelled dataset containing over 2 million 10-second audio clips with 527 classes published by Google in 2017.
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Contribute to qiuqiangkong/audioset_classification development by creating an account on GitHub.
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DCASE 2017 Task 4 Large-scale weakly supervised sound event detection for smart cars consists an audio tagging (AT) subtask and a sound event detection ...
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Audio Set [1] is a large scale weakly labelled dataset containing over 2 million 10-second audio clips with 527 classes published by Google in 2017.
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qiuqiangkong has 66 repositories available. Follow their code on GitHub ... @qiuqiangkong qiuqiangkong Follow ... audioset_classification audioset_classification ...
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A joint separation-classification model for sound event detection of weakly labelled data. Author: Qiuqiang Kong (q.kong@surrey.ac.uk), Yong Xu (yong.xu ...
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This developer code pattern will guide you through training a Deep Learning model to classify audio embeddings on IBM's Deep Learning as a Service (DLaaS) ...
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In this paper, we devise a model, HTS-AT, by combining a swin transformer with a token-semantic module and adapt it in to audio classification and sound event ...
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