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My ICASSP 2019 Schedule

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SLP-P3: Multi-lingual Speech Recognition

Session Type: Poster
Time: Tuesday, May 14, 17:30 - 19:30
Location: Poster Area A, Ground Floor
Session Chair: Kate Knill, University of Cambridge
 
  SLP-P3.1: LEARNING FROM THE BEST: A TEACHER-STUDENT MULTILINGUAL FRAMEWORK FOR LOW-RESOURCE LANGUAGES
         Deblin Bagchi; The Ohio State University
         William Hartmann; Raytheon BBN Technologies
 
  SLP-P3.2: INVESTIGATING END-TO-END SPEECH RECOGNITION FOR MANDARIN-ENGLISH CODE-SWITCHING
         Changhao Shan; Northwestern Polytechnical University
         Chao Weng; Tencent
         Guangsen Wang; Tencent
         Dan Su; Tencent
         Min Luo; Tencent
         Dong Yu; Tencent
         Lei Xie; Northwestern Polytechnical University
 
  SLP-P3.3: AN INVESTIGATION OF MULTILINGUAL ASR USING END-TO-END LF-MMI
         Sibo Tong; Idiap Research Institute & École Polytechnique Fédérale de Lausanne
         Philip Garner; Idiap Research Institute & École Polytechnique Fédérale de Lausanne
         Hervé Bourlard; Idiap Research Institute & École Polytechnique Fédérale de Lausanne
 
  SLP-P3.4: EXPLORING RETRAINING-FREE SPEECH RECOGNITION FOR INTRA-SENTENTIAL CODE-SWITCHING
         Zhen Huang; Apple Inc.
         Xiaodan Zhuang; Apple Inc.
         Daben Liu; Apple Inc.
         Xiaoqiang Xiao; Apple Inc.
         Yuchen Zhang; Apple Inc.
         Sabato Marco Siniscalchi; Apple Inc.
 
  SLP-P3.5: LANGUAGE-INVARIANT BOTTLENECK FEATURES FROM ADVERSARIAL END-TO-END ACOUSTIC MODELS FOR LOW RESOURCE SPEECH RECOGNITION
         Jiangyan Yi; Institute of Automation, Chinese Academy of Sciences
         Jianhua Tao; Institute of Automation, Chinese Academy of Sciences
         Ye Bai; Institute of Automation, Chinese Academy of Sciences
 
  SLP-P3.6: TOWARDS CODE-SWITCHING ASR FOR END-TO-END CTC MODELS
         Ke Li; Johns Hopkins University
         Jinyu Li; Microsoft AI and Research
         Guoli Ye; Microsoft AI and Research
         Rui Zhao; Microsoft AI and Research
         Yifan Gong; Microsoft AI and Research
 
  SLP-P3.7: COMPARISON OF DATA AUGMENTATION AND ADAPTATION STRATEGIES FOR CODE-SWITCHED AUTOMATIC SPEECH RECOGNITION
         Min Ma; Google, Inc.
         Bhuvana Ramabhadran; Google, Inc.
         Jesse Emond; Google, Inc.
         Andrew Rosenberg; Google, Inc.
         Fadi Biadsy; Google, Inc.
 
  SLP-P3.8: WORD AND CLASS COMMON SPACE EMBEDDING FOR CODE-SWITCH LANGUAGE MODELLING
         Grandee Lee; National University of Singapore
         Haizhou Li; National University of Singapore
 
  SLP-P3.9: PHONEME LEVEL LANGUAGE MODELS FOR SEQUENCE BASED LOW RESOURCE ASR
         Siddharth Dalmia; Carnegie Mellon University
         Xinjian Li; Carnegie Mellon University
         Alan W Black; Carnegie Mellon University
         Florian Metze; Carnegie Mellon University
 
  SLP-P3.10: TRANSFER LEARNING OF LANGUAGE-INDEPENDENT END-TO-END ASR WITH LANGUAGE MODEL FUSION
         Hirofumi Inaguma; Kyoto University
         Jaejin Cho; Johns Hopkins University
         Murali Karthick Baskar; Brno University of Technology
         Tatsuya Kawahara; Kyoto University
         Shinji Watanabe; Johns Hopkins University