Open AccessTune-In: Training Under Negative Environments with Interference for Attention Networks Simulating Cocktail Party Effect
Author(s) -
Jun Wang,
Max W. Y. Lam,
Dan Su,
Dong Yu
Publication year - 2021
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v35i16.17644
Subject(s) - discriminative model , computer science , benchmark (surveying) , embedding , block (permutation group theory) , interference (communication) , dual (grammatical number) , feature (linguistics) , speech recognition , power (physics) , artificial intelligence , space (punctuation) , telecommunications , mathematics , linguistics , physics , geodesy , quantum mechanics , geography , operating system , channel (broadcasting) , philosophy , geometry
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