Technical Program

SP-L3: Acoustic Model Adaptation for Speech Recognition II

Session Type: Lecture
Time: Wednesday, March 23, 08:30 - 10:30
Location: Yangtse River Hall (5F)
Session Chairs: John Hansen, University of Texas at Dallas and Kai Yu, Shanghai Jiao Tong University
 
SP-L3.1: COMBINING I-VECTOR REPRESENTATION AND STRUCTURED NEURAL NETWORKS FOR RAPID ADAPTATION
         Chunyang Wu; University of Cambridge
         Penny Karanasou; University of Cambridge
         Mark Gales; University of Cambridge
 
SP-L3.2: LOW-RANK PLUS DIAGONAL ADAPTATION FOR DEEP NEURAL NETWORKS
         Yong Zhao; Microsoft Corporation
         Jinyu Li; Microsoft Corporation
         Yifan Gong; Microsoft Corporation
 
SP-L3.3: SAT-LHUC: SPEAKER ADAPTIVE TRAINING FOR LEARNING HIDDEN UNIT CONTRIBUTIONS
         Pawel Swietojanski; University of Edinburgh
         Steve Renals; University of Edinburgh
 
SP-L3.4: BOTTLENECK LINEAR TRANSFORMATION NETWORK ADAPTATION FOR SPEAKER ADAPTIVE TRAINING-BASED HYBRID DNN-HMM SPEECH RECOGNIZER
         Tsubasa Ochiai; NICT/Doshisha University
         Shigeki Matsuda; Doshisha University
         Hideyuki Watanabe; NICT
         Xugang Lu; NICT
         Hisashi Kawai; NICT
         Shigeru Katagiri; Doshisha University
 
SP-L3.5: INVESTIGATIONS ON SPEAKER ADAPTATION OF LSTM RNN MODELS FOR SPEECH RECOGNITION
         Chaojun Liu; Microsoft Corporation
         Yongqiang Wang; Microsoft Corporation
         Kshitiz Kumar; Microsoft Corporation
         Yifan Gong; Microsoft Corporation
 
SP-L3.6: JOINT ACOUSTIC FACTOR LEARNING FOR ROBUST DEEP NEURAL NETWORK BASED AUTOMATIC SPEECH RECOGNITION
         Souvik Kundu; National University of Singapore
         Gautam Mantena; National University of Singapore
         Yanmin Qian; Shanghai Jiao Tong University
         Tian Tan; Shanghai Jiao Tong University
         Marc Delcroix; Nippon Telegraph and Telephone Corporation
         Khe Chai Sim; National University of Singapore
 

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