Technical Program

SP-P1: Acoustic Model Adaptation for Speech Recognition I

Session Type: Poster
Time: Tuesday, March 22, 13:30 - 15:30
Location: Poster Area H
Session Chair: Malcolm Slaney, Google Machine Hearing Research
 
SP-P1.1: CONTEXT ADAPTIVE DEEP NEURAL NETWORKS FOR FAST ACOUSTIC MODEL ADAPTATION IN NOISY CONDITIONS
         Marc Delcroix; NTT Corporation
         Keisuke Kinoshita; NTT Corporation
         Chengzhu Yu; University of Texas at Dallas
         Atsunori Ogawa; NTT Corporation
         Takuya Yoshioka; NTT Corporation
         Tomohiro Nakatani; NTT Corporation
 
SP-P1.2: ON COMBINING I-VECTORS AND DISCRIMINATIVE ADAPTATION METHODS FOR UNSUPERVISED SPEAKER NORMALIZATION IN DNN ACOUSTIC MODELS
         Lahiru Samarakoon; National University of Singapore
         Khe Chai Sim; National University of Singapore
 
SP-P1.3: SPEAKER-AWARE TRAINING OF LSTM-RNNS FOR ACOUSTIC MODELLING
         Tian Tan; Shanghai Jiao Tong University
         Yanmin Qian; Shanghai Jiao Tong University
         Dong Yu; Microsoft Research
         Souvik Kundu; National University of Singapore
         Liang Lu; University of Edinburgh
         Khe Chai Sim; National University of Singapore
         Xiong Xiao; Nanyang Technological University
         Yu Zhang; Massachusetts Institute of Technology
 
SP-P1.4: NON-NEGATIVE INTERMEDIATE-LAYER DNN ADAPTATION FOR A 10-KB SPEAKER ADAPTATION PROFILE
         Kshitiz Kumar; Microsoft Corporation
         Chaojun Liu; Microsoft Corporation
         Yifan Gong; Microsoft Corporation
 
SP-P1.5: SPEAKER ADAPTIVE TRAINING IN DEEP NEURAL NETWORKS USING SPEAKER DEPENDENT BOTTLENECK FEATURES
         Rama Doddipatla; Toshiba Research Europe Limited
 
SP-P1.6: SPEAKER CLUSTER-BASED SPEAKER ADAPTIVE TRAINING FOR DEEP NEURAL NETWORK ACOUSTIC MODELING
         Wei Chu; Sony Computer Entertainment America
         Ruxin Chen; Sony Computer Entertainment America
 
SP-P1.7: DNN SPEAKER ADAPTATION USING PARAMETERISED SIGMOID AND RELU HIDDEN ACTIVATION FUNCTIONS
         Chao Zhang; University of Cambridge
         Philip Woodland; University of Cambridge
 
SP-P1.8: SPEAKER ADAPTATION OF RNN-BLSTM FOR SPEECH RECOGNITION BASED ON SPEAKER CODE
         Zhiying Huang; University of Science and Technology of China
         Jian Tang; University of Science and Technology of China
         Shaofei Xue; University of Science and Technology of China
         Li-Rong Dai; University of Science and Technology of China
 
SP-P1.9: EFFICIENT NON-LINEAR FEATURE ADAPTATION USING MAXOUT NETWORKS
         Steven Rennie; IBM Research
         Xiaodong Cui; IBM Research
         Vaibhava Goel; IBM Research
 
SP-P1.10: SEQUENCE SUMMARIZING NEURAL NETWORK FOR SPEAKER ADAPTATION
         Karel Vesely; BUT
         Shinji Watanabe; Mitsubishi Electric Research Laboratories
         Katerina Zmolikova; BUT
         Martin Karafiat; BUT
         Lukas Burget; BUT
         Jan Cernocky; BUT
 

ICASSP 2016 Patrons