Technical Program

ASR I

Session Type: Poster
Time: Wednesday, December 19, 10:00 - 12:00
Location: Kallirhoe Hall
 
HIGH-DEGREE FEATURE FOR DEEP NEURAL NETWORK BASED ACOUSTIC MODEL
         Hoon Chung; Electronics and Telecommunications Research Institute
         Sung Joo Lee; Electronics and Telecommunications Research Institute
         Jeon Gue Park; Electronics and Telecommunications Research Institute
 
DENSENET BLSTM FOR ACOUSTIC MODELING IN ROBUST ASR
         Maximilian Strake; Technische Universität Braunschweig
         Pascal Behr; Technische Universität Braunschweig
         Timo Lohrenz; Technische Universität Braunschweig
         Tim Fingscheidt; Technische Universität Braunschweig
 
PHASE-BASED FEATURE REPRESENTATIONS FOR IMPROVING RECOGNITION OF DYSARTHRIC SPEECH
         Siddharth Sehgal; University of Sheffield
         Stuart Cunningham; University of Sheffield
         Phil Green; University of Sheffield
 
EFFICIENT BUILDING STRATEGY WITH KNOWLEDGE DISTILLATION FOR SMALL-FOOTPRINT ACOUSTIC MODELS
         Takafumi Moriya; NTT Corporation
         Hiroki Kanagawa; NTT Corporation
         Kiyoaki Matsui; NTT Corporation
         Takaaki Fukutomi; NTT Corporation
         Yusuke Shinohara; NTT Corporation
         Yoshikazu Yamaguchi; NTT Corporation
         Manabu Okamoto; NTT Corporation
         Yushi Aono; NTT Corporation
 
ADVANCING MULTI-ACCENTED LSTM-CTC SPEECH RECOGNITION USING A DOMAIN SPECIFIC STUDENT-TEACHER LEARNING PARADIGM
         Shahram Ghorbani; University of Texas at Dallas
         Ahmet E. Bulut; University of Texas at Dallas
         John H.L. Hansen; University of Texas at Dallas
 
DYNAMIC EXTENSION OF ASR LEXICON USING WIKIPEDIA DATA
         Badr Abdullah; LORIA/INRIA
         Irina Illina; LORIA/INRIA
         Dominique Fohr; LORIA/INRIA
 
IMPROVING LF-MMI USING UNCONSTRAINED SUPERVISIONS FOR ASR
         Hossein Hadian; Sharif University of Technology
         Daniel Povey; Johns Hopkins University
         Hossein Sameti; Sharif University of Technology
         Jan Trmal; Johns Hopkins University
         Sanjeev Khudanpur; Johns Hopkins University
 
ON TRAINING RECURRENT NETWORKS WITH TRUNCATED BACKPROPAGATION THROUGH TIME IN SPEECH RECOGNITION
         Hao Tang; Massachusetts Institute of Technology
         James Glass; Massachusetts Institute of Technology
 
LEARNING NOISE-INVARIANT REPRESENTATIONS FOR ROBUST SPEECH RECOGNITION
         Davis Liang; Amazon AI
         Zhiheng Huang; Amazon AI
         Zachary Lipton; Carnegie Mellon University
 
AN EXPLORATION OF DIRECTLY USING WORD AS ACOUSTIC MODELING UNIT FOR SPEECH RECOGNITION
         Chunlei Zhang; The University of Texas at Dallas
         Chengzhu Yu; Tencent AI Lab
         Chao Weng; Tencent AI Lab
         Jia Cui; Tencent AI Lab
         Dong Yu; Tencent AI Lab
 
IMPROVED TRAINING OF NEURAL TRANS-DIMENSIONAL RANDOM FIELD LANGUAGE MODELS WITH DYNAMIC NOISE-CONTRASTIVE ESTIMATION
         Bin Wang; Tsinghua University
         Zhijian Ou; Tsinghua University
 
IMPROVING VERY DEEP TIME-DELAY NEURAL NETWORK WITH VERTICAL-ATTENTION FOR EFFECTIVELY TRAINING CTC-BASED ASR SYSTEMS
         Sheng Li; National Institute of Information and Communications Technology
         Xugang Lu; National Institute of Information and Communications Technology
         Ryoichi Takashima; National Institute of Information and Communications Technology
         Peng Shen; National Institute of Information and Communications Technology
         Tatsuya Kawahara; National Institute of Information and Communications Technology (NICT) / Kyoto University
         Hisashi Kawai; National Institute of Information and Communications Technology