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Addressing Missing Labels in Large-Scale Sound Event Recognition Using a Teacher-Student Framework With Loss Masking.

, , , , , and . IEEE Signal Process. Lett., (2020)

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Audio Set: An ontology and human-labeled dataset for audio events, , , , , , , and . 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), page 776-780. (March 2017)Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision., , , , , , and . ICASSP, page 121-125. IEEE, (2020)Unsupervised Learning of Semantic Audio Representations., , , , , , , and . ICASSP, page 126-130. IEEE, (2018)CNN Architectures for Large-Scale Audio Classification., , , , , , , , , and 3 other author(s). CoRR, (2016)Addressing Missing Labels in Large-Scale Sound Event Recognition Using a Teacher-Student Framework With Loss Masking., , , , , and . IEEE Signal Process. Lett., (2020)Addressing Missing Labels in Large-scale Sound Event Recognition using a Teacher-student Framework with Loss Masking., , , , , , and . CoRR, (2020)CNN architectures for large-scale audio classification., , , , , , , , , and 3 other author(s). ICASSP, page 131-135. IEEE, (2017)Dataset Balancing Can Hurt Model Performance., , , , , and . ICASSP, page 1-5. IEEE, (2023)Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision., , , , , , and . CoRR, (2019)Noise-invariant Neurons in the Avian Auditory Cortex: Hearing the Song in Noise., , and . PLoS Comput. Biol., (2013)