Technical Program

SP-L3: Robust Speech Recognition

Session Type: Lecture
Time: Tuesday, March 7, 08:30 - 10:30
Location: Grand Salon 16
Session Chairs: Shinji Watanabe, MERL and Rick Rose, Google
 
SP-L3.1: IMPROVED CEPSTRA MINIMUM-MEAN-SQUARE-ERROR NOISE REDUCTION ALGORITHM FOR ROBUST SPEECH RECOGNITION
         Jinyu Li; Microsoft
         Yan Huang; Microsoft
         Yifan Gong; Microsoft
 
SP-L3.2: COMBINATION STRATEGY BASED ON RELATIVE PERFORMANCE MONITORING FOR MULTI-STREAM REVERBERANT SPEECH RECOGNITION
         Feifei Xiong; Fraunhofer IDMT/HSA
         Stefan Goetze; Fraunhofer IDMT/HSA
         Bernd T. Meyer; Johns Hopkins University
 
SP-L3.3: ONLINE ENVIRONMENTAL ADAPTATION OF CNN-BASED ACOUSTIC MODELS USING SPATIAL DIFFUSENESS FEATURES
         Christian Huemmer; NTT Corporation
         Marc Delcroix; NTT Corporation
         Atsunori Ogawa; NTT Corporation
         Keisuke Kinoshita; NTT Corporation
         Tomohiro Nakatani; NTT Corporation
         Walter Kellermann; FAU Erlangen-Nuremberg
 
SP-L3.4: A NETWORK OF DEEP NEURAL NETWORKS FOR DISTANT SPEECH RECOGNITION
         Mirco Ravanelli; Fondazione Bruno Kessler
         Philemon Brakel; University of Montreal
         Maurizio Omologo; Fondazione Bruno Kessler
         Yoshua Bengio; University of Montreal
 
SP-L3.5: DISCRIMINATIVE IMPORTANCE WEIGHTING OF AUGMENTED TRAINING DATA FOR ACOUSTIC MODEL TRAINING
         Sunit Sivasankaran; INRIA-Nancy
         Emmanuel Vincent; INRIA-Nancy
         Irina Illina; INRIA-Nancy
 
SP-L3.6: UNSUPERVISED SPEAKER ADAPTATION OF BATCH NORMALIZED ACOUSTIC MODELS FOR ROBUST ASR
         Zhong-Qiu Wang; The Ohio State University
         DeLiang Wang; The Ohio State University