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My ICASSP 2017 Schedule

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AASP-P1: Deep Learning for Source Separation and Enhancement II

Session Type: Poster
Time: Monday, March 6, 13:30 - 15:30
Location: Churchill: Poster Area H
Session Chair: Jonathan Le Roux, MERL
 
  AASP-P1.1: PERMUTATION INVARIANT TRAINING OF DEEP MODELS FOR SPEAKER-INDEPENDENT MULTI-TALKER SPEECH SEPARATION
         Dong Yu; Microsoft Research
         Morten Kolbæk; Aalborg University
         Zheng-Hua Tan; Aalborg University
         Jesper Jensen; Aalborg University
 
  AASP-P1.2: DEEP ATTRACTOR NETWORK FOR SINGLE-MICROPHONE SPEAKER SEPARATION
         Zhuo Chen; Columbia University
         Yi Luo; Columbia University
         Nima Mesgarani; Columbia University
 
  AASP-P1.3: DEEP MIXTURE DENSITY NETWORK FOR STATISTICAL MODEL-BASED FEATURE ENHANCEMENT
         Keisuke Kinoshita; NTT Corporation
         Marc Delcroix; NTT Corporation
         Atsunori Ogawa; NTT Corporation
         Takuya Higuchi; NTT Corporation
         Tomohiro Nakatani; NTT Corporation
 
  AASP-P1.4: IMPACT OF LOW-PRECISION DEEP REGRESSION NETWORKS ON SINGLE-CHANNEL SOURCE SEPARATION
         Enea Ceolini; University Zürich, ETH Zürich
         Shih-Chii Liu; University Zürich, ETH Zürich
 
  AASP-P1.5: IMPROVING MUSIC SOURCE SEPARATION BASED ON DEEP NEURAL NETWORKS THROUGH DATA AUGMENTATION AND NETWORK BLENDING
         Stefan Uhlich; Sony Europe Limited
         Marcello Porcu; Sony Europe Limited
         Franck Giron; Sony Europe Limited
         Michael Enenkl; Sony Europe Limited
         Thomas Kemp; Sony Europe Limited
         Naoya Takahashi; Sony Corporation
         Yuki Mitsufuji; Sony Corporation
 
  AASP-P1.6: SUPERVISED SOURCE ENHANCEMENT COMPOSED OF NONNEGATIVE AUTO-ENCODERS AND COMPLEMENTARITY SUBTRACTION
         Kenta Niwa; NTT Corporation
         Yuma Koizumi; NTT Corporation
         Tomoko Kawase; NTT Corporation
         Kazunori Kobayashi; NTT Corporation
         Yusuke Hioka; The University of Auckland
 
  AASP-P1.7: DEEP LONG SHORT-TERM MEMORY ADAPTIVE BEAMFORMING NETWORKS FOR MULTICHANNEL ROBUST SPEECH RECOGNITION
         Zhong Meng; Georgia Institute of Technology
         Shinji Watanabe; Mitsubishi Electric Research Laboratories
         John R. Hershey; Mitsubishi Electric Research Laboratories
         Hakan Erdogan; Microsoft Research
 
  AASP-P1.8: A SPEECH ENHANCEMENT ALGORITHM BY ITERATING SINGLE- AND MULTI-MICROPHONE PROCESSING AND ITS APPLICATION TO ROBUST ASR
         Xueliang Zhang; Inner Mongolia University
         Zhong-Qiu Wang; The Ohio State University
         DeLiang Wang; The Ohio State University
 
  AASP-P1.9: FULLY COMPLEX DEEP NEURAL NETWORK FOR PHASE-INCORPORATING MONAURAL SOURCE SEPARATION
         Yuan-Shan Lee; National Central University
         Chien-Yao Wang; National Central University
         Shu-Fan Wang; National Central University
         Jia-Ching Wang; National Central University
         Chung-Hsien Wu; National Cheng Kung University
 
  AASP-P1.10: INTEGRATING DNN-BASED AND SPATIAL CLUSTERING-BASED MASK ESTIMATION FOR ROBUST MVDR BEAMFORMING
         Tomohiro Nakatani; NTT Corporation
         Nobutaka Ito; NTT Corporation
         Takuya Higuchi; NTT Corporation
         Shoko Araki; NTT Corporation
         Keisuke Kinoshita; NTT Corporation