Technical Program

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SPE-P6: Speech Recognition: Acoustic Modelling I

Session Type: Poster
Time: Wednesday, 6 May, 09:00 - 11:00
Location: On-Demand
Virtual Session: View on Virtual Platform
Session Chairs: Sakriani Sakti, Nara Institute of Science and Technology / RIKEN AIP and Rohit Prabhavalkar, Google
 
 SPE-P6.1: SNDCNN: SELF-NORMALIZING DEEP CNNS WITH SCALED EXPONENTIAL LINEAR UNITS FOR SPEECH RECOGNITION
         Zhen Huang; Apple
         Tim Ng; Apple
         Leo Liu; Apple
         Henry Mason; Apple
         Xiaodan Zhuang; Apple
         Daben Liu; Apple
 
 SPE-P6.2: ROBUST MULTI-CHANNEL SPEECH RECOGNITION USING FREQUENCY ALIGNED NETWORK
         Taejin Park; University of Southern California
         Kenichi Kumatani; Amazon, Inc.
         Minhua Wu; Amazon, Inc.
         Shiva Sundaram; Amazon, Inc.
 
 SPE-P6.3: FULLY LEARNABLE FRONT-END FOR MULTI-CHANNEL ACOUSTIC MODELING USING SEMI-SUPERVISED LEARNING
         Sanna Wager; Indiana University
         Aparna Khare; Amazon, Inc.
         Minhua Wu; Amazon, Inc.
         Kenichi Kumatani; Amazon, Inc.
         Shiva Sundaram; Amazon, Inc.
 
 SPE-P6.4: G2G: TTS-DRIVEN PRONUNCIATION LEARNING FOR GRAPHEMIC HYBRID ASR
         Duc Le; Facebook
         Thilo Koehler; Facebook
         Christian Fuegen; Facebook
         Michael L. Seltzer; Facebook
 
 SPE-P6.5: TRANSFORMER-BASED ACOUSTIC MODELING FOR HYBRID SPEECH RECOGNITION
         Yongqiang Wang; Facebook
         Abdelrahman Mohamed; Facebook
         Duc Le; Facebook
         Chunxi Liu; Facebook
         Alex Xiao; Facebook
         Jay Mahadeokar; Facebook
         Hongzhao Huang; Facebook
         Andros Tjandra; Facebook
         Xiaohui Zhang; Facebook
         Frank Zhang; Facebook
         Christian Fuegen; Facebook
         Geoffrey Zweig; Facebook
         Michael L. Seltzer; Facebook
 
 SPE-P6.6: SPECAUGMENT ON LARGE SCALE DATASETS
         Daniel Park; Google, Inc.
         Yu Zhang; Google, Inc.
         Chung-Cheng Chiu; Google, Inc.
         Youzheng Chen; Google, Inc.
         Bo Li; Google, Inc.
         William Chan; Google, Inc.
         Quoc Le; Google, Inc.
         Yonghui Wu; Google, Inc.
 
 SPE-P6.7: FAST TRAINING OF DEEP NEURAL NETWORKS FOR SPEECH RECOGNITION
         Guojing Cong; IBM
         Brian Kingsbury; IBM
         Chih-Chieh Yang; IBM
         Tianyi Liu; Georgia Institute of Technology
 
 SPE-P6.8: UNSUPERVISED PRE-TRAINING OF BIDIRECTIONAL SPEECH ENCODERS VIA MASKED RECONSTRUCTION
         Weiran Wang; Amazon, Inc.
         Qingming Tang; Amazon, Inc.
         Karen Livescu; TTI-Chicago
 
 SPE-P6.9: DISTILLING ATTENTION WEIGHTS FOR CTC-BASED ASR SYSTEMS
         Takafumi Moriya; NTT Corporation
         Hiroshi Sato; NTT Corporation
         Tomohiro Tanaka; NTT Corporation
         Takanori Ashihara; NTT Corporation
         Ryo Masumura; NTT Corporation
         Yusuke Shinohara; NTT Corporation
 
 SPE-P6.10: DEJA-VU: DOUBLE FEATURE PRESENTATION AND ITERATED LOSS IN DEEP TRANSFORMER NETWORKS
         Andros Tjandra; Nara Institute of Science and Technology
         Chunxi Liu; Facebook AI
         Frank Zhang; Facebook AI
         Xiaohui Zhang; Facebook AI
         Yongqiang Wang; Facebook AI
         Gabriel Synnaeve; Facebook AI
         Satoshi Nakamura; Nara Institute of Science and Technology
         Geoffrey Zweig; Facebook AI
 
 SPE-P6.11: FRAME-LEVEL MMI AS A SEQUENCE DISCRIMINATIVE TRAINING CRITERION FOR LVCSR
         Wilfried Michel; RWTH Aachen University
         Ralf Schl├╝ter; RWTH Aachen University
         Hermann Ney; RWTH Aachen University
 
 SPE-P6.12: CROSS LINGUAL TRANSFER LEARNING FOR ZERO-RESOURCE DOMAIN ADAPTATION
         Alberto Abad; INESC-ID/IST
         Peter Bell; CSTR/University of Edinburgh
         Andrea Carmantini; CSTR/University of Edinburgh
         Steve Renals; CSTR/University of Edinburgh