Technical Program
SP-L8: Acoustic Modeling and Adaptation |
Session Type: Lecture |
Time: Wednesday, March 8, 16:00 - 18:00 |
Location: Grand Salon 16 |
Session Chairs: Michiel Bacchiani, Google and Koichi Shinoda, Tokyo Institute of Technology |
SP-L8.1: JOINT OPTIMISATION OF TANDEM SYSTEMS USING GAUSSIAN MIXTURE DENSITY NEURAL NETWORK DISCRIMINATIVE SEQUENCE TRAINING |
Chao Zhang; Cambridge University |
Phil Woodland; Cambridge University |
SP-L8.2: VISUAL FEATURES FOR CONTEXT-AWARE SPEECH RECOGNITION |
Abhinav Gupta; Carnegie Mellon University |
Yajie Miao; Carnegie Mellon University |
Leonardo Neves; Carnegie Mellon University |
Florian Metze; Carnegie Mellon University |
SP-L8.3: EXPLOITING SEQUENTIAL LOW-RANK FACTORIZATION FOR MULTILINGUAL DNNS |
Reza Sahraeian; KU Leuven |
Dirk Van Compernolle; KU Leuven |
SP-L8.4: LOW-RESOURCE GRAPHEME-TO-PHONEME CONVERSION USING RECURRENT NEURAL NETWORKS |
Preethi Jyothi; Indian Institute of Technology Bombay |
Mark Hasegawa-Johnson; University of Illinois at Urbana-Champaign |
SP-L8.5: AN INVESTIGATION INTO LEARNING EFFECTIVE SPEAKER SUBSPACES FOR ROBUST UNSUPERVISED DNN ADAPTATION |
Lahiru Samarakoon; National University of Singapore |
Khe Chai Sim; Google Inc. |
Brian Mak; Hong Kong University of Science and Technology |
SP-L8.6: EXTENDED LOW-RANK PLUS DIAGONAL ADAPTATION FOR DEEP AND RECURRENT NEURAL NETWORKS |
Yong Zhao; Microsoft |
Jinyu Li; Microsoft |
Kshitiz Kumar; Microsoft |
Yifan Gong; Microsoft |