Technical Program

SP-P11: Robust Speech Recognition

Session Type: Poster
Time: Thursday, March 24, 16:00 - 18:00
Location: Poster Area H
Session Chair: Jinyu Li, Microsoft
 
SP-P11.1: AN INVESTIGATION INTO USING PARALLEL DATA FOR FAR-FIELD SPEECH RECOGNITION
         Yanmin Qian; Shanghai Jiao Tong University
         Tian Tan; Shanghai Jiao Tong University
         Dong Yu; Microsoft Research
 
SP-P11.2: NOISE ROBUST SPEECH RECOGNITION USING RECENT DEVELOPMENTS IN NEURAL NETWORKS FOR COMPUTER VISION
         Takuya Yoshioka; NTT Corporation
         Katsunori Ohnishi; University of Tokyo
         Fuming Fang; Tokyo Institute of Technology
         Tomohiro Nakatani; NTT Corporation
 
SP-P11.3: CNMF-BASED ACOUSTIC FEATURES FOR NOISE-ROBUST ASR
         Colin Vaz; University of Southern California
         Dimitrios Dimitriadis; IBM
         Samuel Thomas; IBM
         Shrikanth Narayanan; University of Southern California
 
SP-P11.4: A GENERATIVE-DISCRIMINATIVE HYBRID APPROACH TO MULTI-CHANNEL NOISE REDUCTION FOR ROBUST AUTOMATIC SPEECH RECOGNITION
         Hendrik Meutzner; Ruhr-Universitaet Bochum
         Shoko Araki; NTT Communication Science Laboratories, NTT Corporation
         Masakiyo Fujimoto; NTT Communication Science Laboratories, NTT Corporation
         Tomohiro Nakatani; NTT Communication Science Laboratories, NTT Corporation
 
SP-P11.5: DEEP BEAMFORMING NETWORKS FOR MULTI-CHANNEL SPEECH RECOGNITION
         Xiong Xiao; Nanyang Technological University
         Shinji Watanabe; Mitsubishi Electric Research Laboratories
         Hakan Erdogan; Sabanci University
         Liang Lu; University of Edinburgh
         John R. Hershey; Mitsubishi Electric Research Laboratories
         Michael L. Seltzer; Microsoft Corporation
         Guoguo Chen; Johns Hopkins University
         Yu Zhang; Massachusetts Institute of Technology
         Michael Mandel; City University of New York
         Dong Yu; Microsoft Corporation
 
SP-P11.6: MULTI-PASS FEATURE ENHANCEMENT BASED ON GENERATIVE-DISCRIMINATIVE HYBRID APPROACH FOR NOISE ROBUST SPEECH RECOGNITION
         Masakiyo Fujimoto; NTT Corporation
         Tomohiro Nakatani; NTT Corporation
 
SP-P11.7: HIGHWAY LONG SHORT-TERM MEMORY RNNS FOR DISTANT SPEECH RECOGNITION
         Yu Zhang; Massachusetts Institute of Technology
         Guoguo Chen; Johns Hopkins University
         Dong Yu; Microsoft Research
         Kaisheng Yao; Microsoft Research
         Sanjeev Khudanpur; Johns Hopkins University
         James Glass; Massachusetts Institute of Technology
 
SP-P11.8: A NEW UNCERTAINTY DECODING SCHEME FOR DNN-HMM HYBRID SYSTEMS WITH MULTICHANNEL SPEECH ENHANCEMENT
         Christian Huemmer; FAU Erlangen-Nürnberg
         Andreas Schwarz; FAU Erlangen-Nürnberg
         Roland Maas; FAU Erlangen-Nürnberg
         Hendrik Barfuss; FAU Erlangen-Nürnberg
         Ramón Fernández Astudillo; INESC-ID-Lisboa, Portugal
         Walter Kellermann; FAU Erlangen-Nürnberg
 
SP-P11.9: TWO-STAGE NOISE AWARE TRAINING USING ASYMMETRIC DEEP DENOISING AUTOENCODER
         Kang Hyun Lee; Seoul National University
         Shin Jae Kang; Seoul National University
         Woo Hyun Kang; Seoul National University
         Nam Soo Kim; Seoul National University
 
SP-P11.10: INTEGRATED ADAPTATION WITH MULTI-FACTOR JOINT-LEARNING FOR FAR-FIELD SPEECH RECOGNITION
         Yanmin Qian; Shanghai Jiao Tong University
         Tian Tan; Shanghai Jiao Tong University
         Dong Yu; Microsoft Research
         Yu Zhang; Massachusetts Institute of Technology
 

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