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.

WE2.I: Audio Classification

Session Type: Poster
Time: Wednesday, 6 May, 11:30 - 13:30
Location: On-Demand
Session Chair: Zafar Rafii, Gracenote
 
   WE2.I.1: BEYOND THE DCASE 2017 CHALLENGE ON RARE SOUND EVENT DETECTION: A PROPOSAL FOR A MORE REALISTIC TRAINING AND TEST FRAMEWORK
         Jan Baumann; Technische Universität Braunschweig
         Timo Lohrenz; Technische Universität Braunschweig
         Alexander Roy; IAV GmbH
         Tim Fingscheidt; Technische Universität Braunschweig
 
   WE2.I.2: METRIC LEARNING WITH BACKGROUND NOISE CLASS FOR FEW-SHOT DETECTION OF RARE SOUND EVENTS
         Kazuki Shimada; Sony Corporation
         Yuichiro Koyama; Sony Corporation
         Akira Inoue; Sony Corporation
 
   WE2.I.3: SOUND EVENT DETECTION BY MULTITASK LEARNING OF SOUND EVENTS AND SCENES WITH SOFT SCENE LABELS
         Keisuke Imoto; Ritsumeikan University
         Noriyuki Tonami; Ritsumeikan University
         Yuma Koizumi; Nippon Telegraph and Telephone Corporation
         Masahiro Yasuda; Nippon Telegraph and Telephone Corporation
         Ryosuke Yamanishi; Ritsumeikan University
         Yoichi Yamashita; Ritsumeikan University
 
   WE2.I.4: GUIDED LEARNING FOR WEAKLY-LABELED SEMI-SUPERVISED SOUND EVENT DETECTION
         Liwei Lin; Institute of Computing Technology, Chinese Academy of Sciences
         Xiangdong Wang; Institute of Computing Technology, Chinese Academy of Sciences
         Hong Liu; Institute of Computing Technology, Chinese Academy of Sciences
         Yueliang Qian; Institute of Computing Technology, Chinese Academy of Sciences
 
   WE2.I.5: STAGED TRAINING STRATEGY AND MULTI-ACTIVATION FOR AUDIO TAGGING WITH NOISY AND SPARSE MULTI-LABEL DATA
         Kexin He; Tsinghua University
         Yuhan Shen; Northeastern University
         Wei-Qiang Zhang; Tsinghua University
         Jia Liu; Tsinghua University
 
   WE2.I.6: LEARNING WITH OUT-OF-DISTRIBUTION DATA FOR AUDIO CLASSIFICATION
         Turab Iqbal; University of Surrey
         Yin Cao; University of Surrey
         Qiuqiang Kong; University of Surrey
         Mark D. Plumbley; University of Surrey
         Wenwu Wang; University of Surrey
 
   WE2.I.7: MULTI-BRANCH LEARNING FOR WEAKLY-LABELED SOUND EVENT DETECTION
         Yuxin Huang; Institute of Computing Technology, Chinese Academy of Sciences
         Xiangdong Wang; Institute of Computing Technology, Chinese Academy of Sciences
         Liwei Lin; Institute of Computing Technology, Chinese Academy of Sciences
         Hong Liu; Institute of Computing Technology, Chinese Academy of Sciences
         Yueliang Qian; Institute of Computing Technology, Chinese Academy of Sciences
 
   WE2.I.8: SCENE-DEPENDENT ACOUSTIC EVENT DETECTION WITH SCENE CONDITIONING AND FAKE-SCENE-CONDITIONED LOSS
         Tatsuya Komatsu; LINE Corporation
         Keisuke Imoto; Ritsumeikan University
         Masahito Togami; LINE Corporation
 
   WE2.I.9: SOUND EVENT LOCALIZATION BASED ON SOUND INTENSITY VECTOR REFINED BY DNN-BASED DENOISING AND SOURCE SEPARATION
         Masahiro Yasuda; NTT Corporation
         Yuma Koizumi; NTT Corporation
         Shoichiro Saito; NTT Corporation
         Hisashi Uematsu; NTT Corporation
         Keisuke Imoto; Ritsumeikan University
 
   WE2.I.10: HIGH-RESOLUTION ATTENTION NETWORK WITH ACOUSTIC SEGMENT MODEL FOR ACOUSTIC SCENE CLASSIFICATION
         Xue Bai; University of Science and Technology of China
         Jun Du; University of Science and Technology of China
         Jia Pan; University of Science and Technology of China
         Heng-Shun Zhou; University of Science and Technology of China
         Yan-Hui Tu; University of Science and Technology of China
         Chin-Hui Lee; Georgia Institute of Technology
 
   WE2.I.11: POLYPHONIC SOUND EVENT DETECTION USING TRANSPOSED CONVOLUTIONAL RECURRENT NEURAL NETWORK
         Chandra Churh Chatterjee; Jalpaiguri Government Engineering College
         Manjunath Mulimani; Manipal Institute of Technology Manipal
         Shashidhar G Koolagudi; National Institute of Technology Karnataka
 
   WE2.I.12: SECOST: SEQUENTIAL CO-SUPERVISION FOR LARGE SCALE WEAKLY LABELED AUDIO EVENT DETECTION
         Anurag Kumar; Facebook Inc
         Vamsi Krishna Ithapu; Facebook