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Multi-label vs. combined single-label sound event detection with deep neural networks.

, , , and . EUSIPCO, page 2551-2555. IEEE, (2015)

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Multi-Task Regularization Based on Infrequent Classes for Audio Captioning., , and . DCASE, page 6-10. (2020)Unsupervised adversarial domain adaptation for acoustic scene classification., , , , and . DCASE, page 138-142. (2018)Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection., , , , and . IEEE ACM Trans. Audio Speech Lang. Process., 25 (6): 1291-1303 (2017)Deep Neural Networks for Sound Event Detection.. University of Tampere, Finland, (2019)base-search.net (ftunivtampere:oai:trepo.tuni.fi:10024/114151).Mobile Microphone Array Speech Detection and Localization in Diverse Everyday Environments., , , , , , and . EUSIPCO, page 406-410. IEEE, (2021)Filterbank learning for deep neural network based polyphonic sound event detection., , and . IJCNN, page 3399-3406. IEEE, (2016)Multi-label vs. combined single-label sound event detection with deep neural networks., , , and . EUSIPCO, page 2551-2555. IEEE, (2015)Stacked Convolutional and Recurrent Neural Networks for Bird Audio Detection., , , and . CoRR, (2017)Polyphonic sound event detection using multi label deep neural networks., , , and . IJCNN, page 1-7. IEEE, (2015)Stacked convolutional and recurrent neural networks for bird audio detection., , , and . EUSIPCO, page 1729-1733. IEEE, (2017)