Technical Program

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SPE-L11: Speech Separation and Extraction I: Single Channel

Session Type: Lecture
Time: Thursday, 7 May, 09:00 - 11:00
Location: On-Demand
Virtual Session: View on Virtual Platform
Session Chair: Tomohiro Nakatani, NTT
 
 SPE-L11.1: DEEP CASA FOR TALKER-INDEPENDENT MONAURAL SPEECH SEPARATION
         Yuzhou Liu; Ohio State University
         Masood Delfarah; Ohio State University
         DeLiang Wang; Ohio State University
 
 SPE-L11.2: DEMYSTIFYING TASNET: A DISSECTING APPROACH
         Jens Heitkaemper; Paderborn University
         Darius Jakobeit; Paderborn University
         Christoph Boeddeker; Paderborn University
         Lukas Drude; Paderborn University
         Reinhold Haeb-Umbach; Paderborn University
 
 SPE-L11.3: FILTERBANK DESIGN FOR END-TO-END SPEECH SEPARATION
         Manuel Pariente; INRIA Nancy
         Samuele Cornell; Università Politecnica delle Marche
         Antoine Deleforge; INRIA Nancy
         Emmanuel Vincent; INRIA Nancy
 
 SPE-L11.4: INTERRUPTED AND CASCADED PERMUTATION INVARIANT TRAINING FOR SPEECH SEPARATION
         Gene-Ping Yang; National Taiwan University
         Szu-Lin Wu; National Taiwan University
         Yao-Wen Mao; National Taiwan University
         Hung-yi Lee; National Taiwan University
         Lin-shan Lee; National Taiwan University
 
 SPE-L11.5: MIXUP-BREAKDOWN: A CONSISTENCY TRAINING METHOD FOR IMPROVING GENERALIZATION OF SPEECH SEPARATION MODELS
         Max W. Y. Lam; Tencent AI Lab
         Jun Wang; Tencent AI Lab
         Dan Su; Tencent AI Lab
         Dong Yu; Tencent AI Lab
 
 SPE-L11.6: AN ONLINE SPEAKER-AWARE SPEECH SEPARATION APPROACH BASED ON TIME-DOMAIN REPRESENTATION
         Hui Wang; University of Science and Technology of China
         Yan Song; University of Science and Technology of China
         Zeng-Xi Li; Microsoft China
         Ian McLoughlin; School of Computing, University of Kent
         Li-Rong Dai; University of Science and Technology of China