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My ICASSP 2019 Schedule

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SLP-P9: Keyword Spotting and Embedded ASR Systems

Session Type: Poster
Time: Wednesday, May 15, 16:00 - 18:00
Location: Poster Area A, Ground Floor
Session Chair: Sabato Marco Siniscalchi, Kore University of Enna
 
  SLP-P9.1: END-TO-END STREAMING KEYWORD SPOTTING
         Raziel Alvarez; Google, Inc.
         Hyun Jin Park; Google, Inc.
 
  SLP-P9.2: FEDERATED LEARNING FOR KEYWORD SPOTTING
         David Leroy; Snips
         Alice Coucke; Snips
         Thibaut Lavril; Snips
         Thibault Gisselbrecht; Snips
         Joseph Dureau; Snips
 
  SLP-P9.3: HOTWORD CLEANER: DUAL-MICROPHONE ADAPTIVE NOISE CANCELLATION WITH DEFERRED FILTER COEFFICIENTS FOR ROBUST KEYWORD SPOTTING
         Yiteng (Arden) Huang; Google, Inc.
         Turaj Shabestary; Google, Inc.
         Alexander Gruenstein; Google, Inc.
 
  SLP-P9.4: EFFICIENT KEYWORD SPOTTING USING DILATED CONVOLUTIONS AND GATING
         Alice Coucke; Snips
         Mohammed Chlieh; Snips
         Thibault Gisselbrecht; Snips
         David Leroy; Snips
         Mathieu Poumeyrol; Snips
         Thibaut Lavril; Snips
 
  SLP-P9.5: VOICE TRIGGER DETECTION FROM LVCSR HYPOTHESIS LATTICES USING BIDIRECTIONAL LATTICE RECURRENT NEURAL NETWORKS
         Woojay Jeon; Apple
         Leo Liu; Apple
         Henry Mason; Apple
 
  SLP-P9.6: FOCAL LOSS AND DOUBLE-EDGE-TRIGGERED DETECTOR FOR ROBUST SMALL-FOOTPRINT KEYWORD SPOTTING
         Bin Liu; National Laboratory of Patten Recognition, Institute of Automation, Chinese Academy of Sciences
         Shuai Nie; National Laboratory of Patten Recognition, Institute of Automation, Chinese Academy of Sciences
         Yaping Zhang; National Laboratory of Patten Recognition, Institute of Automation, Chinese Academy of Sciences
         Shan Liang; National Laboratory of Patten Recognition, Institute of Automation, Chinese Academy of Sciences
         Zhanlei Yang; National Laboratory of Patten Recognition, Institute of Automation, Chinese Academy of Sciences
         Wenju Liu; National Laboratory of Patten Recognition, Institute of Automation, Chinese Academy of Sciences
 
  SLP-P9.7: ADVERSARIAL EXAMPLES FOR IMPROVING END-TO-END ATTENTION-BASED SMALL-FOOTPRINT KEYWORD SPOTTING
         Xiong Wang; Northwestern Polytechnical University
         Sining Sun; Northwestern Polytechnical University
         Changhao Shan; Northwestern Polytechnical University
         Jingyong Hou; Northwestern Polytechnical University
         Lei Xie; Northwestern Polytechnical University
         Shen Li; Mobvoi AI Lab
         Xin Lei; Mobvoi AI Lab
 
  SLP-P9.8: SEMI-SUPERVISED AND POPULATION BASED TRAINING FOR VOICE COMMANDS RECOGNITION
         Oguz H. Elibol; Intel Corporation
         Gokce Keskin; Intel Corporation
         Anil Thomas; Intel Corporation
 
  SLP-P9.9: AUTOMATIC GRAMMAR AUGMENTATION FOR ROBUST VOICE COMMAND RECOGNITION
         Yang Yang; Qualcomm
         Anusha Lalitha; University of California, San Diego
         Jinwon Lee; Qualcomm
         Chris Lott; Qualcomm
 
  SLP-P9.10: STREAMING END-TO-END SPEECH RECOGNITION FOR MOBILE DEVICES
         Yanzhang He; Google, Inc.
         Tara N. Sainath; Google, Inc.
         Rohit Prabhavalkar; Google, Inc.
         Ian McGraw; Google, Inc.
         Raziel Alvarez; Google, Inc.
         Ding Zhao; Google, Inc.
         David Rybach; Google, Inc.
         Anjuli Kannan; Google, Inc.
         Yonghui Wu; Google, Inc.
         Ruoming Pang; Google, Inc.
         Qiao Liang; Google, Inc.
         Deepti Bhatia; Google, Inc.
         Yuan Shangguan; Google, Inc.
         Bo Li; Google, Inc.
         Golan Pundak; Google, Inc.
         Khe Chai Sim; Google, Inc.
         Tom Bagby; Google, Inc.
         Shuo-Yiin Chang; Google, Inc.
         Kanishka Rao; Google, Inc.
         Alexander Gruenstein; Google, Inc.