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My ICASSP 2019 Schedule

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AASP-P10: Audio Security and Source Separation

Session Type: Poster
Time: Thursday, May 16, 08:00 - 10:00
Location: Poster Area D, Ground Floor
Session Chair: Ivan Dokmanić, University of Illinois
 
  AASP-P10.1: PRIVACY-AWARE FEATURE EXTRACTION FOR GENDER DISCRIMINATION VERSUS SPEAKER IDENTIFICATION
         Alexandru Nelus; Institute of Communication Acoustics, Ruhr University Bochum
         Rainer Martin; Institute of Communication Acoustics, Ruhr University Bochum
 
  AASP-P10.2: DECODING HOMOMORPHICALLY ENCRYPTED FLAC AUDIO WITHOUT DECRYPTION
         Yuanyuan Tang; Huazhong University of Science and Technology
         Bin Zhu; Microsoft Research Asia
         Xiaojing Ma; Huazhong University of Science and Technology
         Mathiopoulos P. Takis; University of Athens
         Xia Xie; Huazhong University of Science and Technology
         Hong Huang; Huazhong University of Science and Technology
 
  AASP-P10.3: IMPERCEPTIBLE AUDIO COMMUNICATION
         Manuel Eichelberger; ETH Zurich
         Simon Tanner; ETH Zurich
         Gabriel Voirol; ETH Zurich
         Roger Wattenhofer; ETH Zurich
 
  AASP-P10.4: MULTIPATH-ENABLED PRIVATE AUDIO WITH NOISE
         Anadi Chaman; University of Illinois at Urbana-Champaign
         Yu-Jeh Liu; University of Illinois at Urbana-Champaign
         Jonah Casebeer; University of Illinois at Urbana-Champaign
         Ivan Dokmanić; University of Illinois at Urbana-Champaign
 
  AASP-P10.5: TEACHER-STUDENT DEEP CLUSTERING FOR LOW-DELAY SINGLE CHANNEL SPEECH SEPARATION
         Ryo Aihara; Mitsubishi Electric Corporation
         Toshiyuki Hanazawa; Mitsubishi Electric Corporation
         Yohei Okato; Mitsubishi Electric Corporation
         Gordon Wichern; Mitsubishi Electric Research Laboratories
         Jonathan Le Roux; Mitsubishi Electric Research Laboratories
 
  AASP-P10.6: UNSUPERVISED TRAINING OF A DEEP CLUSTERING MODEL FOR MULTICHANNEL BLIND SOURCE SEPARATION
         Lukas Drude; Paderborn University
         Daniel Hasenklever; Paderborn University
         Reinhold Haeb-Umbach; Paderborn University
 
  AASP-P10.7: A QUASI-NEWTON ALGORITHM ON THE ORTHOGONAL MANIFOLD FOR NMF WITH TRANSFORM LEARNING
         Pierre Ablin; Inria, Parietal team, Université Paris-Saclay
         Dylan Fagot; IRIT, Université de Toulouse, CNRS
         Herwig Wendt; IRIT, Université de Toulouse, CNRS
         Alexandre Gramfort; Inria, Parietal team, Université Paris-Saclay
         Cédric Févotte; IRIT, Université de Toulouse, CNRS
 
  AASP-P10.8: MULTI-BAND PIT AND MODEL INTEGRATION FOR IMPROVED MULTI-CHANNEL SPEECH SEPARATION
         Lianwu Chen; Tencent
         Meng Yu; Tencent
         Dan Su; Tencent
         Dong Yu; Tencent
 
  AASP-P10.9: AUGMENTED TIME-FREQUENCY MASK ESTIMATION IN CLUSTER-BASED SOURCE SEPARATION ALGORITHMS
         Yi Luo; Columbia University
         Nima Mesgarani; Columbia University
 
  AASP-P10.10: TIME-FREQUENCY-MASKING-BASED DETERMINED BSS WITH APPLICATION TO SPARSE IVA
         Kohei Yatabe; Waseda University
         Daichi Kitamura; National Institute of Technology