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My ICASSP 2019 Schedule

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AASP-P2: Music Source Separation and Spatial Audio

Session Type: Poster
Time: Tuesday, May 14, 13:30 - 15:30
Location: Poster Area E, Meeting Room 1A
Session Chair: Gordon Wichern, MERL
 
  AASP-P2.1: IMPROVING BINAURAL AMBISONICS DECODING BY SPHERICAL HARMONICS DOMAIN TAPERING AND COLORATION COMPENSATION
         Christoph Hold; Technical University of Berlin
         Hannes Gamper; Microsoft Research
         Ville Pulkki; Aalto University
         Nikunj Raghuvanshi; Microsoft Research
         Ivan J. Tashev; Microsoft Research
 
  AASP-P2.2: HEAD RELATED IMPULSE RESPONSE INTERPOLATION AND EXTRAPOLATION USING DEEP BELIEF NETWORKS
         Grady Kestler; Qualcomm Institute at University of California, San Diego
         Shahrokh Yadegari; Qualcomm Institute at University of California, San Diego
         David Nahamoo; Pryon AI
 
  AASP-P2.3: AUTOENCODING HRTFS FOR DNN BASED HRTF PERSONALIZATION USING ANTHROPOMETRIC FEATURES
         Tzu-Yu Chen; National Chiao Tung University
         Tzu-Hsuan Kuo; National Chiao Tung University
         Tai-Shih Chi; National Chiao Tung University
 
  AASP-P2.4: DISTANCE-DEPENDENT MODELING OF HEAD-RELATED TRANSFER FUNCTIONS
         Mengfan Zhang; Peking University
         Yue Qiao; Peking University
         Xihong Wu; Peking University
         Tianshu Qu; Peking University
 
  AASP-P2.5: SOUNDFIELD RECONSTRUCTION IN REVERBERANT ENVIRONMENTS USING HIGHER-ORDER MICROPHONES AND IMPULSE RESPONSE MEASUREMENTS
         Federico Borra; Politecnico di Milano
         Israel Dejene Gebru; Facebook
         Dejan Markovic; Facebook
 
  AASP-P2.6: PROXIMAL DEEP RECURRENT NEURAL NETWORK FOR MONAURAL SINGING VOICE SEPARATION
         Weitao Yuan; Tianjin Polytechnic University
         Shengbei Wang; Tianjin Polytechnic University
         Xiangrui Li; Tianjin Polytechnic University
         Masashi Unoki; Japan Advanced Institute of Science and Technology
         Wenwu Wang; University of Surrey
 
  AASP-P2.7: SEMI-SUPERVISED MONAURAL SINGING VOICE SEPARATION WITH A MASKING NETWORK TRAINED ON SYNTHETIC MIXTURES
         Michael Michelashvili; Tel-Aviv Univeristy
         Sagie Benaim; Tel-Aviv Univeristy
         Lior Wolf; Tel-Aviv Univeristy
 
  AASP-P2.8: A PITCH-AWARE APPROACH TO SINGLE-CHANNEL SPEECH SEPARATION
         Ke Wang; Northwestern Polytechnical University
         Frank K. Soong; Microsoft Research Asia
         Lei Xie; Northwestern Polytechnical University
 
  AASP-P2.9: CLASS-CONDITIONAL EMBEDDINGS FOR MUSIC SOURCE SEPARATION
         Prem Seetharaman; Northwestern University
         Gordon Wichern; Mitsubishi Electric Research Laboratories
         Shrikant Venkataramani; University of Illinois at Urbana-Champaign
         Jonathan Le Roux; Mitsubishi Electric Research Laboratories
 
  AASP-P2.10: END-TO-END SOUND SOURCE SEPARATION CONDITIONED ON INSTRUMENT LABELS
         Olga Slizovskaia; Pompeu Fabra University
         Leo Kim; University of Waterloo
         Gloria Haro; Pompeu Fabra University
         Emilia Gomez; Pompeu Fabra University