IEEE ICASSP 2022

2022 IEEE International Conference on Acoustics, Speech and Signal Processing

7-13 May 2022
  • Virtual (all paper presentations)
22-27 May 2022
  • Main Venue: Marina Bay Sands Expo & Convention Center, Singapore
27-28 October 2022
  • Satellite Venue: Crowne Plaza Shenzhen Longgang City Centre, Shenzhen, China

ICASSP 2022
SPE-67: Language Understanding IV: General Topics
Thu, 12 May, 20:00 - 20:45 China Time (UTC +8)
Thu, 12 May, 12:00 - 12:45 UTC
Location: Gather Area E
Session Co-Chairs: Gerald Penn, University of Toronto and Malu Zhang, University of Electronic Science and Technology of China
Track: Speech and Language Processing

SPE-67.1: SLUE: NEW BENCHMARK TASKS FOR SPOKEN LANGUAGE UNDERSTANDING EVALUATION ON NATURAL SPEECH
Suwon Shon, Felix Wu, Pablo Brusco, Kyu J. Han, ASAPP, United States of America; Ankita Pasad, Karen Livescu, Toyota Technological Institute at Chicago, United States of America; Yoav Artzi, Cornell University, ASAPP, United States of America

SPE-67.2: TOWARDS REDUCING THE NEED FOR SPEECH TRAINING DATA TO BUILD SPOKEN LANGUAGE UNDERSTANDING SYSTEMS
Samuel Thomas, Hong-Kwang Kuo, Brian Kingsbury, George Saon, IBM Research AI, United States of America

SPE-67.3: IMPROVING CROSS-MODAL UNDERSTANDING IN VISUAL DIALOG VIA CONTRASTIVE LEARNING
Feilong Chen, Xiuyi Chen, Shuang Xu, Bo Xu, Institute of Automation, Chinese Academy of Sciences (CASIA), China

SPE-67.4: NEWS RECOMMENDATION VIA MULTI-INTEREST NEWS SEQUENCE MODELLING
Rongyao Wang, Wenpeng Lu, Qilu University of Technology (Shandong Academy of Sciences), China; Shoujin Wang, RMIT University, Australia; Xueping Peng, University of Technology Sydney, Australia

SPE-67.5: MULTI-LEVEL CONTRASTIVE LEARNING FOR CROSS-LINGUAL ALIGNMENT
Beiduo Chen, Wu Guo, Bin Gu, University of Science and Technology of China, China; Quan Liu, Yongchao Wang, iFLYTEK Research, China

SPE-67.6: AUGMENTATION STRATEGY OPTIMIZATION FOR LANGUAGE UNDERSTANDING
Chang-Ting Chu, Mahdin Rohmatillah, Jen-Tzung Chien, National Yang Ming Chiao Tung University, Taiwan; Ching-hsien Lee, Industrial Technology Research Institute, Taiwan