Login Paper Search My Schedule Paper Index Help

My ICASSP 2019 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)

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.

AASP-L3: Source Separation and Speech Enhancement I

Session Type: Lecture
Time: Wednesday, May 15, 08:30 - 10:30
Location: Meeting Room 1
Session Chair: Minje Kim, Indiana University Bloomington
 
  AASP-L3.1: DEEP GRIFFIN–LIM ITERATION
         Yoshiki Masuyama; Waseda University
         Kohei Yatabe; Waseda University
         Yuma Koizumi; NTT Corporation
         Yasuhiro Oikawa; Waseda University
         Noboru Harada; NTT Corporation
 
  AASP-L3.2: THE PHASEBOOK: BUILDING COMPLEX MASKS VIA DISCRETE REPRESENTATIONS FOR SOURCE SEPARATION
         Jonathan Le Roux; Mitsubishi Electric Research Laboratories
         Gordon Wichern; Mitsubishi Electric Research Laboratories
         Shinji Watanabe; Johns Hopkins University
         Andy Sarroff; iZotope
         John R. Hershey; Google Research
 
  AASP-L3.3: DEEP LEARNING BASED PHASE RECONSTRUCTION FOR SPEAKER SEPARATION: A TRIGONOMETRIC PERSPECTIVE
         Zhong-Qiu Wang; The Ohio State University
         Ke Tan; The Ohio State University
         DeLiang Wang; The Ohio State University
 
  AASP-L3.4: LOW-LATENCY DEEP CLUSTERING FOR SPEECH SEPARATION
         Shanshan Wang; Tampere University of Technology
         Gaurav Naithani; Tampere University of Technology
         Tuomas Virtanen; Tampere University of Technology
 
  AASP-L3.5: UNSUPERVISED DEEP CLUSTERING FOR SOURCE SEPARATION: DIRECT LEARNING FROM MIXTURES USING SPATIAL INFORMATION
         Efthymios Tzinis; University of Illinois at Urbana-Champaign
         Shrikant Venkataramani; University of Illinois at Urbana-Champaign
         Paris Smaragdis; University of Illinois at Urbana-Champaign, Adobe Research
 
  AASP-L3.6: SINGLE-CHANNEL SPEECH EXTRACTION USING SPEAKER INVENTORY AND ATTENTION NETWORK
         Xiong Xiao; Microsoft
         Zhuo Chen; Microsoft
         Takuya Yoshioka; Microsoft
         Hakan Erdogan; Microsoft
         Changliang Liu; Microsoft
         Dimitrios Dimitriadis; Microsoft
         Jasha Droppo; Microsoft
         Yifan Gong; Microsoft