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SP-P4: Noise Robust Speech Recognition

Session Type: Poster
Time: Tuesday, March 7, 08:30 - 10:30
Location: Churchill: Poster Area A
Session Chair: Kai Yu, SJTU, China
 
  SP-P4.1: ROBUST AUTOMATIC RECOGNITION OF SPEECH WITH BACKGROUND MUSIC
         Jiri Malek; Technical University of Liberec
         Jindrich Zdansky; Technical University of Liberec
         Petr Cerva; Technical University of Liberec
 
  SP-P4.2: SPEECH RECOGNITION IN UNSEEN AND NOISY CHANNEL CONDITIONS
         Vikramjit Mitra; SRI International
         Horacio Franco; SRI International
         Chris Bartels; SRI International
         Julien van Hout; SRI International
         Martin Graciarena; SRI International
         Dimitra Vergyri; SRI International
 
  SP-P4.3: A STUDY ON DATA AUGMENTATION OF REVERBERANT SPEECH FOR ROBUST SPEECH RECOGNITION
         Tom Ko; Huawei Noah’s Ark Research Lab
         Vijayaditya Peddinti; Johns Hopkins University
         Daniel Povey; Johns Hopkins University
         Michael L. Seltzer; Microsoft Research, Redmond
         Sanjeev Khudanpur; Johns Hopkins University
 
  SP-P4.4: ENHANCING NOISE AND PITCH ROBUSTNESS OF CHILDREN'S ASR
         Syed Shahnawazuddin; National Institute of Technology Patna
         Deepak K.T.; Indian Institute of Information Technology Dharwad
         Gayadhar Pradhan; National Institute of Technology Patna
         Rohit Sinha; Indian Institute of Technology Guwahati
 
  SP-P4.5: A MODULATION FEATURE SET FOR ROBUST AUTOMATIC SPEECH RECOGNITION IN ADDITIVE NOISE AND REVERBERATION
         Xiaoyu Liu; Binghamton University
         Roozbeh Sadeghian; Binghamton University
         Stephen Zahorian; Binghamton University
 
  SP-P4.6: ROBUST FRONT-END PROCESSING FOR SPEECH RECOGNITION IN NOISY CONDITIONS
         Biswajit Das; Tata Consultancy Services Limited
         Ashish Panda; Tata Consultancy Services Limited
 
  SP-P4.7: FEEDBACK CONNECTION FOR DEEP NEURAL NETWORK-BASED ACOUSTIC MODELING
         Dung T. Tran; NTT Corporation
         Marc Delcroix; NTT Corporation
         Atsunori Ogawa; NTT Corporation
         Christian Huemmer; University of Erlangen Nuremberg
         Tomohiro Nakatani; NTT Corporation
 
  SP-P4.8: INTEGRATED DNN-BASED MODEL ADAPTATION TECHNIQUE FOR NOISE-ROBUST SPEECH RECOGNITION
         Kang Hyun Lee; Seoul National University
         Woo Hyun Kang; Seoul National University
         Tae Gyoon Kang; Seoul National University
         Nam Soo Kim; Seoul National University
 
  SP-P4.9: ON DNN POSTERIOR PROBABILITY COMBINATION IN MULTI-STREAM SPEECH RECOGNITION FOR REVERBERANT ENVIRONMENTS
         Feifei Xiong; Fraunhofer IDMT/HSA
         Stefan Goetze; Fraunhofer IDMT/HSA
         Bernd T. Meyer; Johns Hopkins University
 
  SP-P4.10: DNN-BASED FEATURE ENHANCEMENT USING DOA-CONSTRAINED ICA FOR ROBUST SPEECH RECOGNITION
         Ho-Yong Lee; Sogang University
         Ji-Won Cho; Sogang University
         Minook Kim; Sogang University
         Hyung-Min Park; Sogang University