Login Paper Search My Schedule Paper Index Help

My ICASSP 2020 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)
Click on the icon to view the manuscript on IEEE XPlore in the IEEE ICASSP 2020 Open Preview.

Clicking on the Add button next to a paper title will add that paper to your custom schedule.
Clicking on the Remove button next to a paper will remove that paper from your custom schedule.

WE1.I: Speech Enhancement II: Single Channel

Session Type: Lecture
Time: Wednesday, 6 May, 09:00 - 11:00
Location: On-Demand
Session Chair: John Hershey, Google
 
   WE1.I.1: A COMPUTATIONALLY LIGHT ALGORITHM FOR BAYESIAN SPEECH ENHANCEMENT WITH SNR MARGINALIZATION
         Stefan Thaleiser; Ruhr-Universität Bochum
         Gerald Enzner; Ruhr-Universität Bochum
 
   WE1.I.2: LOW-LATENCY SINGLE CHANNEL SPEECH ENHANCEMENT USING U-NET CONVOLUTIONAL NEURAL NETWORKS
         Ahmet E. Bulut; Center for Robust Speech Systems, University of Texas at Dallas
         Kazuhito Koishida; Microsoft Corporation
 
   WE1.I.3: A CROSS-TASK TRANSFER LEARNING APPROACH TO ADAPTING DEEP SPEECH ENHANCEMENT MODELS TO UNSEEN BACKGROUND NOISE USING PAIRED SENONE CLASSIFIERS
         Sicheng Wang; Georgia Institute of Technology
         Wei Li; Georgia Institute of Technology
         Sabato Marco Siniscalchi; Kore University of Enna
         Chin-Hui Lee; Georgia Institute of Technology
 
   WE1.I.4: MONAURAL SPEECH ENHANCEMENT USING INTRA-SPECTRAL RECURRENT LAYERS IN THE MAGNITUDE AND PHASE RESPONSES
         Khandokar Md. Nayem; Indiana University
         Donald S. Williamson; Indiana University
 
   WE1.I.5: A MAXIMUM LIKELIHOOD APPROACH TO MULTI-OBJECTIVE LEARNING USING GENERALIZED GAUSSIAN DISTRIBUTIONS FOR DNN-BASED SPEECH ENHANCEMENT
         Shu-Tong Niu; 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
         Chin-Hui Lee; Georgia Institute of Technology
 
   WE1.I.6: PAGAN: A PHASE-ADAPTED GENERATIVE ADVERSARIAL NETWORKS FOR SPEECH ENHANCEMENT
         Peishuo Li; Tsinghua University
         Zihang Jiang; Tsinghua University
         Shouyi Yin; Tsinghua University
         Dandan Song; TsingMicro Co. Ltd.
         Peng Ouyang; TsingMicro Co. Ltd.
         Leibo Liu; Tsinghua University
         Shaojun Wei; Tsinghua University