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My ICASSP 2019 Schedule

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AASP-L1: Detection and Classification of Acoustic Scenes and Events I

Session Type: Lecture
Time: Tuesday, May 14, 13:30 - 15:30
Location: Meeting Room 1
Session Chair: Tuomas Virtanen, Tampere University
 
  AASP-L1.1: SOUND EVENT DETECTION USING GRAPH LAPLACIAN REGULARIZATION BASED ON EVENT CO-OCCURRENCE
         Keisuke Imoto; Ritsumeikan University
         Seisuke Kyochi; The University of Kitakyushu
 
  AASP-L1.2: HIERARCHY-AWARE LOSS FUNCTION ON A TREE STRUCTURED LABEL SPACE FOR AUDIO EVENT DETECTION
         Arindam Jati; University of Southern California
         Naveen Kumar; Disney Research
         Ruxin Chen; SONY Interactive Entertainment LLC
         Panayiotis Georgiou; University of Southern California
 
  AASP-L1.3: ENHANCED STREAMING BASED SUBSPACE CLUSTERING APPLIED TO ACOUSTIC SCENE DATA CLUSTERING
         Shuoyang Li; University of Surrey
         Yuantao Gu; Tsinghua University
         Yuhui Luo; National Physical Laboratory
         Jonathon Chambers; University of Leicester
         Wenwu Wang; University of Surrey
 
  AASP-L1.4: TRAINING NEURAL AUDIO CLASSIFIERS WITH FEW DATA
         Jordi Pons; Music Technology Group, Universitat Pompeu Fabra
         Joan Serrà; Telefónica Research
         Xavier Serra; Music Technology Group, Universitat Pompeu Fabra
 
  AASP-L1.5: LEARNING SOUND EVENT CLASSIFIERS FROM WEB AUDIO WITH NOISY LABELS
         Eduardo Fonseca; Universitat Pompeu Fabra
         Manoj Plakal; Google, Inc.
         Daniel P. W. Ellis; Google, Inc.
         Frederic Font; Universitat Pompeu Fabra
         Xavier Favory; Universitat Pompeu Fabra
         Xavier Serra; Universitat Pompeu Fabra
 
  AASP-L1.6: LEARNING TO MATCH TRANSIENT SOUND EVENTS USING ATTENTIONAL SIMILARITY FOR FEW-SHOT SOUND RECOGNITION
         Szu-Yu Chou; Academia Sinica
         Kai-Hsiang Cheng; Academia Sinica
         Jyh-Shing Jang; National Taiwan University
         Yi-Hsuan Yang; Academia Sinica