Technical Program

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SPE-P13: Speech Separation and Extraction III

Session Type: Poster
Time: Thursday, 7 May, 11:30 - 13:30
Location: On-Demand
Virtual Session: View on Virtual Platform
Session Chairs: Hakan Erdogan, Google and Marc Delcroix, NTT
 
 SPE-P13.1: AN EMPIRICAL STUDY OF CONV-TASNET
         Berkan Kadioglu; Northeastern University
         Michael Horgan; Dolby Laboratories
         Xiaoyu Liu; Dolby Laboratories
         Jordi Pons; Dolby Laboratories
         Dan Darcy; Dolby Laboratories
         Vivek Kumar; Dolby Laboratories
 
 SPE-P13.2: MASK-DEPENDENT PHASE ESTIMATION FOR MONAURAL SPEAKER SEPARATION
         Zhaoheng Ni; Graduate Center, City University of New York
         Michael I Mandel; Brooklyn College, City University of New York
 
 SPE-P13.3: JOINT PHONEME ALIGNMENT AND TEXT-INFORMED SPEECH SEPARATION ON HIGHLY CORRUPTED SPEECH
         Kilian Schulze-Forster; LTCI, Télécom Paris, Institut Polytechnique de Paris
         Clement S. J. Doire; Audionamix
         Gaël Richard; LTCI, Télécom Paris, Institut Polytechnique de Paris
         Roland Badeau; LTCI, Télécom Paris, Institut Polytechnique de Paris
 
 SPE-P13.4: SINGLE-CHANNEL SPEECH SEPARATION INTEGRATING PITCH INFORMATION BASED ON A MULTI TASK LEARNING FRAMEWORK
         Xiang Li; Peking University
         Rui Liu; Peking University
         Tao Song; Peking University
         Xihong Wu; Peking University
         Jing Chen; Peking University
 
 SPE-P13.5: CONTINUOUS SPEECH SEPARATION: DATASET AND ANALYSIS
         Zhuo Chen; Microsoft
         Takuya Yoshioka; Microsoft
         Liang Lu; Microsoft
         Tianyan Zhou; Microsoft
         Zhong Meng; Microsoft
         Yi Luo; Microsoft
         Jian Wu; Microsoft
         Xiong Xiao; Microsoft
         Jinyu Li; Microsoft
 
 SPE-P13.6: THE SOUND OF MY VOICE: SPEAKER REPRESENTATION LOSS FOR TARGET VOICE SEPARATION
         Seongkyu Mun; Naver Corporation
         Soyeon Choe; Naver Corporation
         Jaesung Huh; Naver Corporation
         Joon Son Chung; Naver Corporation
 
 SPE-P13.7: SPEAKER-AWARE TARGET SPEAKER ENHANCEMENT BY JOINTLY LEARNING WITH SPEAKER EMBEDDING EXTRACTION
         Xuan Ji; Tencent
         Meng Yu; Tencent
         Chunlei Zhang; Tencent
         Dan Su; Tencent
         Tao Yu; Tencent
         Xiaoyu Liu; Tencent
         Dong Yu; Tencent
 
 SPE-P13.8: FAR-FIELD LOCATION GUIDED TARGET SPEECH EXTRACTION USING END-TO-END SPEECH RECOGNITION OBJECTIVES
         Aswin Shanmugam Subramanian; Johns Hopkins University
         Chao Weng; Tencent AI
         Meng Yu; Tencent AI
         Shi-Xiong Zhang; Tencent AI Lab
         Yong Xu; Tencent AI
         Shinji Watanabe; Johns Hopkins University
         Dong Yu; Tencent AI
 
 SPE-P13.9: A STUDY OF CHILD SPEECH EXTRACTION USING JOINT SPEECH ENHANCEMENT AND SEPARATION IN REALISTIC CONDITIONS
         Xin Wang; University of Science and Technology of China
         Jun Du; University of Science and Technology of China
         Alejandrina Cristia; Laboratoire de Sciences Cognitives et Psycholinguistique
         Lei Sun; University of Science and Technology of China
         Chin-Hui Lee; Georgia Institute of Technology
 
 SPE-P13.10: AN ANALYSIS OF SPEECH ENHANCEMENT AND RECOGNITION LOSSES IN LIMITED RESOURCES MULTI-TALKER SINGLE CHANNEL AUDIO-VISUAL ASR
         Luca Pasa; University of Padova
         Giovanni Morrone; University of Modena and Reggio Emilia
         Leonardo Badino; Istituto Italiano di Tecnologia (IIT)
 
 SPE-P13.11: DEEP AUDIO-VISUAL SPEECH SEPARATION WITH ATTENTION MECHANISM
         Chenda Li; Shanghai Jiao Tong University
         Yanmin Qian; Shanghai Jiao Tong University
 
 SPE-P13.12: ENHANCING END-TO-END MULTI-CHANNEL SPEECH SEPARATION VIA SPATIAL FEATURE LEARNING
         Rongzhi Gu; Peking University Shenzhen Graduate School
         Shi-Xiong Zhang; Tencent AI Lab
         Lianwu Chen; Tencent
         Yong Xu; Tencent
         Meng Yu; Tencent
         Dan Su; Tencent
         Yuexian Zou; Peking University Shenzhen Graduate School
         Dong Yu; Tencent