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AASP-P11: Source Separation

Session Type: Poster
Time: Friday, May 31, 15:20 - 17:20
Location: Poster Area F
Session Chair: Emmanuel Vincent, LORIA
 
  AASP-P11.1: ONLINE REPET-SIM FOR REAL-TIME SPEECH ENHANCEMENT
         Zafar Rafii; Northwestern University
         Bryan Pardo; Northwestern University
 
  AASP-P11.2: DENOISING DEEP NEURAL NETWORKS BASED VOICE ACTIVITY DETECTION
         Xiao-Lei Zhang; Tsinghua University
         Ji Wu; Tsinghua University
 
  AASP-P11.3: A COMPARATIVE STUDY ON SPARSITY PENALTIES FOR NMF-BASED SPEECH SEPARATION: BEYOND LP-NORMS
         Cyril Joder; Technische Universität München
         Felix Weninger; Technische Universität München
         David Virette; Huawei European Research Center
         Björn Schuller; Technische Universität München
 
  AASP-P11.4: USING THE TURBO PRINCIPLE FOR EXPLOITING TEMPORAL AND SPECTRAL CORRELATIONS IN SPEECH PRESENCE PROBABILITY ESTIMATION
         Dang Hai Tran Vu; University of Paderborn
         Reinhold Haeb-Umbach; University of Paderborn
 
  AASP-P11.5: EXEMPLAR-BASED JOINT CHANNEL AND NOISE COMPENSATION
         Jort Florent Gemmeke; Katholieke Universiteit Leuven
         Tuomas Virtanen; Tampere University of Technology
         Kris Demuynck; Ghent University
 
  AASP-P11.6: PREDICTION BASED FILTERING AND SMOOTHING TO EXPLOIT TEMPORAL DEPENDENCIES IN NMF
         Nasser Mohammadiha; KTH Royal Institute of Technology
         Paris Smaragdis; University of Illinois at Urbana-Champaign
         Arne Leijon; KTH Royal Institute of Technology
 
  AASP-P11.7: AUDIO RESTORATION FROM MULTIPLE COPIES
         Pablo Sprechmann; Duke University
         Alex Bronstein; Tel Aviv University
         Jean Michel Morel; École Normale Supérieure
         Guillermo Sapiro; Duke University
 
  AASP-P11.8: INTERACTIVE REFINEMENT OF SUPERVISED AND SEMI-SUPERVISED SOUND SOURCE SEPARATION ESTIMATES
         Nicholas J. Bryan; Stanford University
         Gautham Mysore; Adobe
 
  AASP-P11.9: SCORE INFORMED AUDIO SOURCE SEPARATION USING CONSTRAINED NONNEGATIVE MATRIX FACTORIZATION AND SCORE SYNTHESIS
         Joachim Fritsch; University Pierre and Marie Curie
         Mark D. Plumbley; Queen Mary University of London
 
  AASP-P11.10: AN EFFICIENT ZERO PHASE NOISE REDUCTION METHOD FOR IMPACT NOISE WITH DAMPED OSCILLATION
         Sayuri Kohmura; Graduate School of Engineering Science, Osaka University, Japan
         Arata Kawamura; Graduate School of Engineering Science, Osaka University, Japan
         Youji Iiguni; Graduate School of Engineering Science, Osaka University, Japan
 
  AASP-P11.11: COLLABORATIVE AUDIO ENHANCEMENT USING PROBABILISTIC LATENT COMPONENT SHARING
         Minje Kim; University of Illinois at Urbana-Champaign
         Paris Smaragdis; University of Illinois at Urbana-Champaign
 
  AASP-P11.12: OPTIMIZING COHERENT DEMODULATION FOR IMPROVED SEPARATION OF OVERLAPPING SOURCES
         Gregory Sell; University of Maryland, College Park
 
  AASP-P11.13: AN ADAPTIVE TIME-FREQUENCY RESOLUTION FRAMEWORK FOR SINGLE CHANNEL SOURCE SEPARATION BASED ON NON-NEGATIVE TENSOR FACTORIZATION
         Serap Kirbiz; Istanbul Technical University
         Bilge Gunsel; Istanbul Technical University
 
  AASP-P11.14: CONSISTENT WIENER FILTERING FOR AUDIO SOURCE SEPARATION
         Jonathan Le Roux; Mitsubishi Electric Research Laboratories (MERL)
         Emmanuel Vincent; Inria