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 |