Technical Program

AASP-L2: Source Separation I

Session Type: Lecture
Time: Wednesday, March 23, 08:30 - 10:30
Location: Room 3B
Session Chairs: Paris Smaragdis, University of Illinois and Gael Richard, Télécom ParisTech
 
AASP-L2.1: DEEP CLUSTERING: DISCRIMINATIVE EMBEDDINGS FOR SEGMENTATION AND SEPARATION
         John R. Hershey; Mitsubishi Electric Research Laboratories
         Zhuo Chen; Columbia University
         Jonathan Le Roux; Mitsubishi Electric Research Laboratories
         Shinji Watanabe; Mitsubishi Electric Research Laboratories
 
AASP-L2.2: PROJET - SPATIAL AUDIO SEPARATION USING PROJECTIONS
         Derry Fitzgerald; Cork Institute of Technology
         Antoine Liutkus; Inria
         Roland Badeau; Telecom ParisTech Université Paris-Saclay
 
AASP-L2.3: EFFICIENT NEIGHBORHOOD-BASED TOPIC MODELING FOR COLLABORATIVE AUDIO ENHANCEMENT ON MASSIVE CROWDSOURCED RECORDINGS
         Minje Kim; University of Illinois at Urbana-Champaign
         Paris Smaragdis; University of Illinois at Urbana-Champaign
 
AASP-L2.4: COMPLEX NMF UNDER PHASE CONSTRAINTS BASED ON SIGNAL MODELING: APPLICATION TO AUDIO SOURCE SEPARATION
         Paul Magron; Télécom ParisTech
         Roland Badeau; Télécom ParisTech
         Bertrand David; Télécom ParisTech
 
AASP-L2.5: STUDENT’S T NONNEGATIVE MATRIX FACTORIZATION AND POSITIVE SEMIDEFINITE TENSOR FACTORIZATION FOR SINGLE-CHANNEL AUDIO SOURCE SEPARATION
         Kazuyoshi Yoshii; Kyoto University
         Katsutoshi Itoyama; Kyoto University
         Masataka Goto; National Institute of Advanced Industrial Science and Technology
 
AASP-L2.6: MULTICHANNEL BLIND SOURCE SEPARATION BASED ON NON-NEGATIVE TENSOR FACTORIZATION IN WAVENUMBER DOMAIN
         Yuki Mitsufuji; The University of Tokyo/Sony Corporation
         Shoichi Koyama; The University of Tokyo
         Hiroshi Saruwatari; The University of Tokyo
 

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