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FR1.I: Speech Enhancement IV

Session Type: Poster
Time: Friday, 8 May, 08:00 - 10:00
Location: On-Demand
Session Chairs: Marco Siniscalchi, Kore University of Enna and Takuya Yoshioka, Microsoft
 
   FR1.I.1: UNSUPERVISED NEURAL MASK ESTIMATOR FOR GENERALIZED EIGEN-VALUE BEAMFORMING BASED ASR
         Rohit Kumar; Indian Institute Science
         Anirudh Sreeram; Indian Institute Science
         Anurenjan Purushothaman; Indian Institute Science
         Sriram Ganapathy; Indian Institute Science
 
   FR1.I.2: SPATIAL ATTENTION FOR FAR-FIELD SPEECH RECOGNITION WITH DEEP BEAMFORMING NEURAL NETWORKS
         Weipeng He; Idiap Research Institute
         Lu Lu; Facebook
         Biqiao Zhang; Facebook
         Jay Mahadeokar; Facebook
         Kaustubh Kalgaonkar; Facebook
         Christian Fuegen; Facebook
 
   FR1.I.3: TENSOR-TO-VECTOR REGRESSION FOR MULTI-CHANNEL SPEECH ENHANCEMENT BASED ON TENSOR-TRAIN NETWORK
         Jun Qi; Georgia Institute of Technology
         Hu Hu; Georgia Institute of Technology
         Yannan Wang; Tencent
         Chao-Han Huck Yang; Georgia Institute of Technology
         Marco Siniscalchi; University of Enna
         Chin-Hui Lee; Georgia Institute of Technology
 
   FR1.I.4: TRUTH-TO-ESTIMATE RATIO MASK: A POST-PROCESSING METHOD FOR SPEECH ENHANCEMENT DIRECT AT LOW SIGNAL-TO-NOISE RATIOS
         Bohan Chen; Hong Kong University of Science and Technology Shenzhen Research Institute
         He Wang; Hong Kong University of Science and Technology Shenzhen Research Institute
         Yue Wei; Incus Company Limited
         Richard H.Y. So; Hong Kong University of Science and Technology
 
   FR1.I.5: GEOMETRY CONSTRAINED PROGRESSIVE LEARNING FOR LSTM-BASED SPEECH ENHANCEMENT
         Xin Tang; University of Science and Technology of China
         Jun Du; University of Science and Technology of China
         Li Chai; University of Science and Technology of China
         Yannan Wang; Tencent Technology(Shenzhen) Company Limited
         Qing Wang; Tencent Technology(Shenzhen) Company Limited
         Chin-Hui Lee; Georgia Institute of Technology
 
   FR1.I.6: USING SEPARATE LOSSES FOR SPEECH AND NOISE IN MASK-BASED SPEECH ENHANCEMENT
         Ziyi Xu; Technische Universität Braunschweig
         Samy Elshamy; Technische Universität Braunschweig
         Tim Fingscheidt; Technische Universität Braunschweig
 
   FR1.I.7: STABLE TRAINING OF DNN FOR SPEECH ENHANCEMENT BASED ON PERCEPTUALLY-MOTIVATED BLACK-BOX COST FUNCTION
         Masaki Kawanaka; National Institute of Technology, Tokuyama College
         Yuma Koizumi; NTT Corporation
         Ryoichi Miyazaki; National Institute of Technology, Tokuyama College
         Kohei Yatabe; Waseda University
 
   FR1.I.8: A ROBUST AUDIO-VISUAL SPEECH ENHANCEMENT MODEL
         Wupeng Wang; Huawei Noah's Ark Lab
         Chao Xing; Huawei Noah's Ark Lab
         Dong Wang; Tsinghua University
         Xiao Chen; Huawei Noah's Ark Lab
         Fengyu Sun; Huawei Technologies CO. LTD
 
   FR1.I.9: ROBUST UNSUPERVISED AUDIO-VISUAL SPEECH ENHANCEMENT USING A MIXTURE OF VARIATIONAL AUTOENCODERS
         Mostafa Sadeghi; Inria, Grenoble Alpes
         Xavier Alameda-Pineda; Inria, Grenoble Alpes
 
   FR1.I.10: AV(SE)²: AUDIO-VISUAL SQUEEZE-EXCITE SPEECH ENHANCEMENT
         Michael Iuzzolino; University of Colorado Boulder
         Kazuhito Koishida; Microsoft Corporation
 
   FR1.I.11: SPECTROGRAMS FUSION WITH MINIMUM DIFFERENCE MASKS ESTIMATION FOR MONAURAL SPEECH DEREVERBERATION
         Hao Shi; Tianjin University
         Longbiao Wang; Tianjin University
         Meng Ge; Tianjin University
         Sheng Li; National Institute of Information and Communications Technology (NICT)
         Jianwu Dang; Tianjin University
 
   FR1.I.12: A RETURN TO DEREVERBERATION IN THE FREQUENCY DOMAIN USING A JOINT LEARNING APPROACH
         Yuying Li; Indiana University Bloomington
         Donald S. Williamson; Indiana University