An ensemble of CRNNs trained with consistency regularization and MixUp on mixed labeled/unlabeled data reaches 42.0% event-based F-measure on DCASE 2019 Task 4, beating the 25.8% baseline.
Detection and classification of acoustic sc enes and events: Outcome of the dcase 2016 challenge,
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HODGEPODGE: Sound event detection based on ensemble of semi-supervised learning methods
An ensemble of CRNNs trained with consistency regularization and MixUp on mixed labeled/unlabeled data reaches 42.0% event-based F-measure on DCASE 2019 Task 4, beating the 25.8% baseline.