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General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline.

, , , , , , and . CoRR, (2018)

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Model-agnostic Approaches to Handling Noisy Labels When Training Sound Event Classifiers., , and . CoRR, (2019)Learning Sound Event Classifiers from Web Audio with Noisy Labels., , , , , and . ICASSP, page 21-25. IEEE, (2019)Experimenting Middleware-Level Monitoring Facilities to Observe Component-based Applications., , and . SBCARS, page 96-106. SBC - Brazilian Computer Society, (2008)Audio tagging with noisy labels and minimal supervision., , , , and . CoRR, (2019)A self-diagnosis approach for performance problem localization in component-based applications., , and . NOMS, page 931-934. IEEE, (2008)A hybrid parametric-deep learning approach for sound event localization and detection., , and . CoRR, (2019)General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline., , , , , , and . CoRR, (2018)A Simple Fusion of Deep and Shallow Learning for Acoustic Scene Classification., , and . CoRR, (2018)Facilitating the Manual Annotation of Sounds When Using Large Taxonomies., , , and . CoRR, (2018)A Training System to Help Professionals in the Electric Sector in Risky Operations., and . SVR, page 264-267. IEEE Computer Society, (2013)