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-41: Voice Activity and Disfluency Detection

Session Type: Poster
Time: Thursday, 10 June, 15:30 - 16:15
Location: Gather.Town
Session Chair: Douglas O'Shaughnessy, INSR
 
   SPE-41.1: SEP-28K: A DATASET FOR STUTTERING EVENT DETECTION FROM PODCASTS WITH PEOPLE WHO STUTTER
         Colin Lea; Apple
         Vikramjit Mitra; Apple
         Aparna Joshi; Apple
         Sachin Kajarekar; Apple
         Jeffrey Bigham; Apple
 
   SPE-41.2: A HYBRID CNN-BILSTM VOICE ACTIVITY DETECTOR
         Nicholas Wilkinson; Stellenbosch University
         Thomas Niesler; Stellenbosch University
 
   SPE-41.3: SELF-ATTENTIVE VAD: CONTEXT-AWARE DETECTION OF VOICE FROM NOISE
         Yong Rae Jo; Voithru
         Young Ki Moon; Voithru, Inha University
         Won Ik Cho; Seoul National University
         Geun Sik Jo; Inha University
 
   SPE-41.4: PREVENTING EARLY ENDPOINTING FOR ONLINE AUTOMATIC SPEECH RECOGNITION
         Yingzhu Zhao; Nanyang Technological University
         Chongjia Ni; Alibaba Group
         Cheung-Chi Leung; Alibaba Group
         Shafiq Joty; Nanyang Technological University
         Eng Siong Chng; Nanyang Technological University
         Bin Ma; Alibaba Group
 
   SPE-41.5: MARBLENET: DEEP 1D TIME-CHANNEL SEPARABLE CONVOLUTIONAL NEURAL NETWORK FOR VOICE ACTIVITY DETECTION
         Fei Jia; NVIDIA Corporation
         Somshubra Majumdar; NVIDIA Corporation
         Boris Ginsburg; NVIDIA Corporation
 
   SPE-41.6: SPEECH ENHANCEMENT AIDED END-TO-END MULTI-TASK LEARNING FOR VOICE ACTIVITY DETECTION
         Xu Tan; Northwestern Polytechnical University
         Xiao-Lei Zhang; Northwestern Polytechnical University
 
   SPE-41.7: ROBUST VOICE ACTIVITY DETECTION USING A MASKED AUDITORY ENCODER BASED CONVOLUTIONAL NEURAL NETWORK
         Nan Li; Tianjin university
         Longbiao Wang; Tianjin university
         Masashi Unoki; Japan Advanced Institute of Science and Technology
         Sheng Li; National Institute of Information and Communications Technology
         Rui Wang; Japan Advanced Institute of Science and Technology
         Meng Ge; Tianjin university
         Jianwu Dang; Japan Advanced Institute of Science and Technology and Tianjin University