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.

FR1.I: Word Spotting

Session Type: Poster
Time: Friday, 8 May, 08:00 - 10:00
Location: On-Demand
Session Chairs: Lei Xie, Northwestern Polytechnical University and Lin-Shan Lee, National Taiwan University
 
   FR1.I.1: MINING EFFECTIVE NEGATIVE TRAINING SAMPLES FOR KEYWORD SPOTTING
         Jingyong Hou; Northwestern Polytechnical University
         Yangyang Shi; Mobvoi AI Lab
         Mari Ostendorf; University of Washington
         Mei-Yuh Hwang; Mobvoi AI Lab
         Lei Xie; Northwestern Polytechnical University
 
   FR1.I.2: MULTI-TASK LEARNING FOR VOICE TRIGGER DETECTION
         Siddharth Sigtia; Apple
         Pascal Clark; Apple
         Rob Haynes; Apple
         Hywel Richards; Apple
         John Bridle; Apple
 
   FR1.I.3: SMALL-FOOTPRINT KEYWORD SPOTTING ON RAW AUDIO DATA WITH SINC-CONVOLUTIONS
         Simon Mittermaier; Technische Universität München
         Ludwig Kürzinger; Technische Universität München
         Bernd Waschneck; Infineon Technologies AG
         Gerhard Rigoll; Technische Universität München
 
   FR1.I.4: LATTICE-BASED IMPROVEMENTS FOR VOICE TRIGGERING USING GRAPH NEURAL NETWORKS
         Pranay Dighe; Apple
         Saurabh Adya; Apple
         Nuoyu Li; Apple
         Srikanth Vishnubhotla; Apple
         Devang Naik; Apple
         Adithya Sagar; Apple
         Ying Ma; Apple
         Stephen Pulman; Apple
         Jason Williams; Apple
 
   FR1.I.5: INTEGRATION OF MULTI-LOOK BEAMFORMERS FOR MULTI-CHANNEL KEYWORD SPOTTING
         Xuan Ji; Tencent
         Meng Yu; Tencent
         Jie Chen; Tencent
         Jimeng Zheng; Tencent
         Dan Su; Tencent
         Dong Yu; Tencent
 
   FR1.I.6: FAST LATTICE-FREE KEYWORD FILTERING FOR ACCELERATED SPOKEN TERM DETECTION
         Jonathan Wintrode; Raytheon Applied Signal Technology
         Jenny Wilkes; Raytheon Applied Signal Technology
 
   FR1.I.7: TRAINING KEYWORD SPOTTERS WITH LIMITED AND SYNTHESIZED SPEECH DATA
         James Lin; Google Research
         Kevin Kilgour; Google Research
         Dominik Roblek; Google Research
         Matt Sharifi; Google Research
 
   FR1.I.8: TOWARDS DATA-EFFICIENT MODELING FOR WAKE WORD SPOTTING
         Yixin Gao; Amazon, Inc.
         Yuriy Mishchenko; Amazon, Inc.
         Anish Shah; Amazon, Inc.
         Spyros Matsoukas; Amazon, Inc.
         Shiv Vitaladevuni; Amazon, Inc.
 
   FR1.I.9: ADAPTATION OF RNN TRANSDUCER WITH TEXT-TO-SPEECH TECHNOLOGY FOR KEYWORD SPOTTING
         Eva Sharma; Khoury College of Computer Sciences, Northeastern University
         Guoli Ye; Speech and Language Group, Microsoft
         Wenning Wei; Microsoft China
         Rui Zhao; Speech and Language Group, Microsoft
         Yao Tian; Microsoft China
         Jian Wu; Speech and Language Group, Microsoft
         Lei He; Microsoft China
         Ed Lin; Microsoft China
         Yifan Gong; Speech and Language Group, Microsoft
 
   FR1.I.11: CRNN-CTC BASED MANDARIN KEYWORDS SPOTTING
         Haikang Yan; South China University of Technology
         Qianhua He; South China University of Technology
         Wei Xie; South China University of Technology