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My ICASSP 2019 Schedule

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MLSP-L1: Deep Learning Applications I

Session Type: Lecture
Time: Tuesday, May 14, 13:30 - 15:30
Location: Auditorium 2
Session Chair: Ercan Kuruoglu, CNR (Italian National Council of Research),
 
  MLSP-L1.1: PEAK DETECTION AND BASELINE CORRECTION USING A CONVOLUTIONAL NEURAL NETWORK
         Mikkel N. Schmidt; Technical University of Denmark
         Tommy S. Alstrøm; Technical University of Denmark
         Marcus Svendstorp; Technical University of Denmark
         Jan Larsen; Technical University of Denmark
 
  MLSP-L1.2: DEEP LEARNING THE EEG MANIFOLD FOR PHONOLOGICAL CATEGORIZATION FROM ACTIVE THOUGHTS
         Pramit Saha; University of British Columbia
         Muhammad Abdul-Mageed; University of British Columbia
         Sidney Fels; University of British Columbia
 
  MLSP-L1.3: IMPROVE DIVERSE TEXT GENERATION BY SELF LABELING CONDITIONAL VARIATIONAL AUTO ENCODER
         Yuchi Zhang; Alibaba Group
         Yongliang Wang; Alibaba Group
         Liping Zhang; Alibaba Group
         Zhiqiang Zhang; Alibaba Group
         Kun Gai; Alibaba Group
 
  MLSP-L1.4: FULLY DATA-DRIVEN CONVOLUTIONAL FILTERS WITH DEEP LEARNING MODELS FOR EPILEPTIC SPIKE DETECTION
         Kosuke Fukumori; Tokyo University of Agriculture and Technology
         Thu Nguyen; International University, VNU-HCMC
         Noboru Yoshida; Juntendo University Nerima Hospital
         Toshihisa Tanaka; Tokyo University of Agriculture and Technology
 
  MLSP-L1.5: ADVERSARIALLY TRAINED AUTOENCODERS FOR PARALLEL-DATA-FREE VOICE CONVERSION
         Orhan Ocal; University of California, Berkeley
         Oguz H. Elibol; Intel AI Lab
         Gokce Keskin; Intel AI Lab
         Cory Stephenson; Intel AI Lab
         Anil Thomas; Intel AI Lab
         Kannan Ramchandran; University of California, Berkeley
 
  MLSP-L1.6: STATIC AND DYNAMIC STATE PREDICTIONS FOR ACOUSTIC MODEL COMBINATION
         Kshitiz Kumar; Microsoft
         Yifan Gong; Microsoft