AASP-L3: Multichannel Source Separation |
Session Type: Lecture |
Time: Wednesday, May 29, 10:30 - 12:30 |
Location: Room 110 |
Session Chair: Shoji Makino, University of Tsukuba
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AASP-L3.1: INFORMED SOURCE SEPARATION FROM COMPRESSED MIXTURES USING SPATIAL WIENER FILTER AND QUANTIZATION NOISE ESTIMATION |
Shuhua Zhang; Grenoble-INP |
Laurent Girin; Grenoble-INP |
Antoine Liutkus; Institut Mines-Telecom, CNRS LTCI |
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AASP-L3.2: LOW BITRATE INFORMED SOURCE SEPARATION OF REALISTIC MIXTURES |
Antoine Liutkus; Télécom ParisTech, Institut Mines-Telecom, CNRS LTCI |
Roland Badeau; Télécom ParisTech, Institut Mines-Telecom, CNRS LTCI |
Gaël Richard; Télécom ParisTech, Institut Mines-Telecom, CNRS LTCI |
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AASP-L3.3: SOUND SOURCE SEPARATION BASED ON NON-NEGATIVE TENSOR FACTORIZATION INCORPORATING SPATIAL CUE AS PRIOR KNOWLEDGE |
Yuki Mitsufuji; Sony Corporation |
Axel Roebel; IRCAM-CNRS-UPMC UMR 9912 |
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AASP-L3.4: VARIATIONAL EM FOR BINAURAL SOUND-SOURCE SEPARATION AND LOCALIZATION |
Antoine Deleforge; INRIA Grenoble Rhône-Alpes |
Florence Forbes; INRIA Grenoble Rhône-Alpes |
Radu Horaud; INRIA Grenoble Rhône-Alpes |
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AASP-L3.5: UNDERDETERMINED INSTANTANEOUS BLIND SOURCE SEPARATION OF SPARSE SIGNALS WITH TEMPORAL STRUCTURE USING THE STATE-SPACE MODEL |
Benxu Liu; Nanyang Technological University |
Vaninirappuputhenpurayil Gopalan Reju; Nanyang Technological University |
Andy W.H. Khong; Nanyang Technological University |
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AASP-L3.6: UNSUPERVISED SPATIAL DICTIONARY LEARNING FOR SPARSE UNDERDETERMINED MULTICHANNEL SOURCE SEPARATION |
Francesco Nesta; Fondazione Bruno Kessler |
Mahmoud Fakhry; Fondazione Bruno Kessler |
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