Technical Program

PM3: DNN-based ASR

Session Type: Poster
Poster Time: Monday, December 8, 16:00 - 17:30
Location: Emerald 4-6
Session Chair: Ozlem Kalinli, Sony Playstation
 
PM3.101: DEEP ORDER STATISTIC NETWORKS
         Steven J. Rennie; IBM Research, United States
         Vaibhava Goel; IBM Research, United States
         Samuel Thomas; IBM Research, United States
 
PM3.102: IMPROVING DEEP NEURAL NETWORKS USING STATE PROJECTION VECTORS OF SUBSPACE GAUSSIAN MIXTURE MODEL AS FEATURES
         Murali Karthick B; Indian Institute of Technology Madras, India
         S Umesh; Indian Institute of Technology Madras, India
 
PM3.103: VOCAL TRACT LENGTH NORMALISATION APPROACHES TO DNN-BASED CHILDREN'S AND ADULTS' SPEECH RECOGNITION
         Romain Serizel; FBK- Fondazione Bruno Kessler, Italy
         Diego Giuliani; FBK- Fondazione Bruno Kessler, Italy
 
PM3.104: SEMI-SUPERVISED DNN TRAINING IN MEETING RECOGNITION
         Pengyuan Zhang; Chinese Academy of Sciences, China
         Yulan Liu; University of Sheffield, United Kingdom
         Thomas Hain; University of Sheffield, United Kingdom
 
PM3.105: TIKHONOV REGULARIZATION FOR DEEP NEURAL NETWORK ACOUSTIC MODELING
         Jen-Tzung Chien; National Chiao Tung University, Taiwan
         Tsai-Wei Lu; National Chiao Tung University, Taiwan
 
PM3.106: SPEAKER ADAPTATION OF DEEP NEURAL NETWORKS USING A HIERARCHY OF OUTPUT LAYERS
         Ryan Price; Tokyo Institute of Technology, Japan
         Ken-ichi Iso; Yahoo Japan Corporation, Japan
         Koichi Shinoda; Tokyo Institute of Technology, Japan
 
PM3.107: ANNEALED DROPOUT TRAINING OF DEEP NETWORKS
         Steven J. Rennie; IBM Research, United States
         Vaibhava Goel; IBM Research, United States
         Samuel Thomas; IBM Research, United States
 
PM3.108: IMPROVEMENTS TO SPEAKER ADAPTIVE TRAINING OF DEEP NEURAL NETWORKS
         Yajie Miao; Carnegie Mellon University, United States
         Lu Jiang; Carnegie Mellon University, United States
         Hao Zhang; Carnegie Mellon University, United States
         Florian Metze; Carnegie Mellon University, United States
 
PM3.109: LEARNING HIDDEN UNIT CONTRIBUTIONS FOR UNSUPERVISED SPEAKER ADAPTATION OF NEURAL NETWORK ACOUSTIC MODELS
         Pawel Swietojanski; University of Edinburgh, United Kingdom
         Steve Renals; University of Edinburgh, United Kingdom
 
PM3.110: GRAPH-BASED SEMI-SUPERVISED ACOUSTIC MODELING IN DNN-BASED SPEECH RECOGNITION
         Yuzong Liu; University of Washington, United States
         Katrin Kirchhoff; University of Washington, United States
 
PM3.111: A DISTRIBUTED ARCHITECTURE FOR FAST SGD SEQUENCE DISCRIMINATIVE TRAINING OF DNN ACOUSTIC MODELS
         George Saon; IBM, United States