Login Paper Search My Schedule Paper Index Help

My ICASSP 2016 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)

Clicking on the Add button next to a paper title will add that paper to your custom schedule.
Clicking on the Remove button next to a paper will remove that paper from your custom schedule.

SP-P4: Neural Networks in Speech Recognition

Session Type: Poster
Time: Tuesday, March 22, 16:00 - 18:00
Location: Poster Area I
Session Chair: Xiaodong Cui, IBM Watson
 
  SP-P4.1: FLAT START TRAINING OF CD-CTC-SMBR LSTM RNN ACOUSTIC MODELS
         Kanishka Rao; Google Inc.
         Andrew Senior; Google Inc.
         Hasim Sak; Google Inc.
 
  SP-P4.2: MULTILINGUAL DATA SELECTION FOR TRAINING STACKED BOTTLENECK FEATURES
         Ekapol Chuangsuwanich; Massachusetts Institute of Technology
         Yu Zhang; Massachusetts Institute of Technology
         James Glass; Massachusetts Institute of Technology
 
  SP-P4.3: PREDICTION-ADAPTATION-CORRECTION RECURRENT NEURAL NETWORKS FOR LOW-RESOURCE LANGUAGE SPEECH RECOGNITION
         Yu Zhang; Massachusetts Institute of Technology
         Ekapol Chuangsuwanich; Massachusetts Institute of Technology
         James Glass; Massachusetts Institute of Technology
         Dong Yu; Microsoft Research
 
  SP-P4.4: A STUDY OF RANK-CONSTRAINED MULTILINGUAL DNNS FOR LOW-RESOURCE ASR
         Reza Sahraeian; Katholieke Universiteit Leuven
         Dirk Van Compernolle; Katholieke Universiteit Leuven
 
  SP-P4.5: SEQUENCE TRAINING OF MULTI-TASK ACOUSTIC MODELS USING META-STATE LABELS
         Olivier Siohan; Google Inc.
 
  SP-P4.6: MULTILINGUAL REGION-DEPENDENT TRANSFORMS
         Martin Karafiat; BUT
         Lukas Burget; BUT
         Frantisek Grezl; BUT
         Karel Vesely; BUT
         Jan Cernocky; BUT
 
  SP-P4.7: DIVERGENCE ESTIMATION BASED ON DEEP NEURAL NETWORKS AND ITS USE FOR LANGUAGE IDENTIFICATION
         Yosuke Kashiwagi; The University of Tokyo
         Congying Zhang; The University of Tokyo
         Daisuke Saito; The University of Tokyo
         Nobuaki Minematsu; The University of Tokyo
 
  SP-P4.8: EFFECTIVE UTILIZATION OF MULTIPLE EXAMPLES IN QUERY-BY-EXAMPLE SPOKEN TERM DETECTION
         Ji Xu; The Key Laboratory of Speech Acoustics and Content Understanding, Chinese Academy of Sciences
         Ge Zhang; The Key Laboratory of Speech Acoustics and Content Understanding, Chinese Academy of Sciences
         Yonghong Yan; The Key Laboratory of Speech Acoustics and Content Understanding, Chinese Academy of Sciences
 
  SP-P4.9: EXPLOITING LSTM STRUCTURE IN DEEP NEURAL NETWORKS FOR SPEECH RECOGNITION
         Tianxing He; Shanghai Jiao Tong University
         Jasha Droppo; Microsoft Corporation
 
  SP-P4.10: SELF-STABILIZED DEEP NEURAL NETWORK
         Pegah Ghahremani; Johns Hopkins University
         Jasha Droppo; Microsoft Research
 

ICASSP 2016 Patrons