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My ICASSP 2020 Schedule

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WE3.I: Classification of Acoustic Scenes and Events

Session Type: Lecture
Time: Wednesday, 6 May, 16:30 - 18:30
Location: On-Demand
Session Chair: Shinji Watanabe, Waseda University
 
   WE3.I.1: COINCIDENCE, CATEGORIZATION, AND CONSOLIDATION: LEARNING TO RECOGNIZE SOUNDS WITH MINIMAL SUPERVISION
         Aren Jansen; Google Research
         Daniel P. W. Ellis; Google Research
         Shawn Hershey; Google Research
         R. Channing Moore; Google Research
         Manoj Plakal; Google Research
         Ashok Popat; Google Research
         Rif A. Saurous; Google Research
 
   WE3.I.2: ACOUSTIC SCENE CLASSIFICATION FOR MISMATCHED RECORDING DEVICES USING HEATED-UP SOFTMAX AND SPECTRUM CORRECTION
         Truc Nguyen; Graz University of Technology
         Franz Pernkopf; Graz University of Technology
         Michal Kosmider; Samsung R&D Institute
 
   WE3.I.3: LIMITATIONS OF WEAK LABELS FOR EMBEDDING AND TAGGING
         Nicolas Turpault; Universit√© de Lorraine, CNRS, Inria, Loria
         Romain Serizel; Universit√© de Lorraine, CNRS, Inria, Loria
         Emmanuel Vincent; Universit√© de Lorraine, CNRS, Inria, Loria
 
   WE3.I.4: MT-GCN FOR MULTI-LABEL AUDIO TAGGING WITH NOISY LABELS
         Harsh Shrivastava; National University of Singapore and MIDAS Lab, IIIT-D
         Yifang Yin; National University of Singapore
         Rajiv Ratn Shah; MIDAS Labs, IIIT Delhi
         Roger Zimmermann; National University of Singapore
 
   WE3.I.5: ACOUSTIC SCENE CLASSIFICATION USING DEEP RESIDUAL NETWORKS WITH LATE FUSION OF SEPARATED HIGH AND LOW FREQUENCY PATHS
         Mark D. McDonnell; University of South Australia
         Wei Gao; University of South Australia
 
   WE3.I.6: END-TO-END AUDITORY OBJECT RECOGNITION VIA INCEPTION NUCLEUS
         Mohammad Ebrahimpour; University of California, Merced
         Timothy Shea; Accenture Technology Labs
         Andreea Danielescu; Accenture Technology Labs
         David Noelle; University of California, Merced
         Chris Kello; University of California, Merced