Technical Program

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