SS-6: Convolutive Blind Source Separation for Speech and Audio Signals

Session Type: Special Lecture
Time: Wednesday, May 19, 15:30 - 17:30
Location: Mackenzie
Chair:  ,
 
SS-6.1: GENERALIZED SPARSE SIGNAL MIXING MODEL AND APPLICATION TO NOISY BLIND SOURCE SEPARATION
         Justinian Rosca; Siemens Corporate Research
         Christian Borss; Siemens Corporate Research
         Radu Balan; Siemens Corporate Research
 
SS-6.2: UNDERDETERMINED BLIND SEPARATION FOR SPEECH IN REAL ENVIRONMENTS WITH SPARSENESS AND ICA
         Shoko Araki; NTT Corporation
         Shoji Makino; NTT Corporation
         Audrey Blin; Université du Québec
         Ryo Mukai; NTT Corporation
         Hiroshi Sawada; NTT Corporation
 
SS-6.3: CONVOLUTIVE BLIND SOURCE SEPARATION FOR MORE THAN TWO SOURCES IN THE FREQUENCY DOMAIN
         Hiroshi Sawada; NTT Corporation
         Ryo Mukai; NTT Corporation
         Shoko Araki; NTT Corporation
         Shoji Makino; NTT Corporation
 
SS-6.4: TRINICON: A VERSATILE FRAMEWORK FOR MULTICHANNEL BLIND SIGNAL PROCESSING
         Herbert Buchner; Universität Erlangen-Nürnberg
         Robert Aichner; Universität Erlangen-Nürnberg
         Walter Kellermann; Universität Erlangen-Nürnberg
 
SS-6.5: BLIND SOURCE SEPARATION IN MOBILE ENVIRONMENTS USING A PRIORI KNOWLEDGE
         Erik Visser; SoftMax, Inc.
         Te-Won Lee; SoftMax, Inc.
 
SS-6.6: FAST COVERGENCE SPEECH SOURCE SEPARATION IN REVERBERANT ACOUSTIC ENVIRONMENT
         Yunxin Zhao; University of Missouri-Columbia
         Rong Hu; University of Missouri-Columbia
 

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