2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
Login Paper Search My Schedule Paper Index Help

My ICASSP 2021 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 2021 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.

SPE-38: Speaker Recognition 6: Self-supervised and Unsupervised Learning

Session Type: Poster
Time: Thursday, 10 June, 14:00 - 14:45
Location: Gather.Town
Session Chair: Takafumi Koshinaka, Yokohama City University
 
   SPE-38.1: CONTRASTIVE SELF-SUPERVISED LEARNING FOR TEXT-INDEPENDENT SPEAKER VERIFICATION
         Haoran Zhang; Peking University
         Yuexian Zou; Peking University
         Helin Wang; Peking University
 
   SPE-38.2: ADVERSARIAL DEFENSE FOR AUTOMATIC SPEAKER VERIFICATION BY CASCADED SELF-SUPERVISED LEARNING MODELS
         Haibin Wu; National Taiwan University
         Xu Li; The Chinese University of Hong Kong
         Andy Liu; National Taiwan university
         Zhiyong Wu; Shenzhen International Graduate School, Tsinghua University
         Helen Meng; The Chinese University of Hong Kong
         Hung-yi Lee; National Taiwan University
 
   SPE-38.3: SELF-SUPERVISED TEXT-INDEPENDENT SPEAKER VERIFICATION USING PROTOTYPICAL MOMENTUM CONTRASTIVE LEARNING
         Wei Xia; University of Texas at Dallas
         Chunlei Zhang; Tencent AI Lab
         Chao Weng; Tencent AI Lab
         Meng Yu; Tencent AI Lab
         Dong Yu; Tencent AI Lab
 
   SPE-38.4: AN ITERATIVE FRAMEWORK FOR SELF-SUPERVISED DEEP SPEAKER REPRESENTATION LEARNING
         Danwei Cai; Duke University
         Weiqing Wang; Duke University
         Ming Li; Duke Kunshan University
 
   SPE-38.5: IMPROVING RECONSTRUCTION LOSS BASED SPEAKER EMBEDDING IN UNSUPERVISED AND SEMI-SUPERVISED SCENARIOS
         Jaejin Cho; Center for Language Speech Processing at Johns Hopkins University
         Piotr Zelasko; Center for Language Speech Processing at Johns Hopkins University
         Jesús Villalba; Johns Hopkins University
         Najim Dehak; Center for Language Speech Processing at Johns Hopkins University
 
  SPE-38.6: NOVEL ARCHITECTURES FOR UNSUPERVISED INFORMATION BOTTLENECK BASED SPEAKER DIARIZATION OF MEETINGS
         Nauman Dawalatabad; Indian Institute of Technology, Madras
         Srikanth Madikeri; Idiap Research Institute
         C Chandra Sekhar; Indian Institute of Technology, Madras
         Hema A Murthy; Indian Institute of Technology, Madras