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-2: Speech Recognition: Robust Speech Recognition I
Sun, 8 May, 20:00 - 20:45 China Time (UTC +8)
Sun, 8 May, 12:00 - 12:45 UTC
Location: Gather Area C
Session Chair: Satoshi Nakamura, Nara Institute of Science and Technology
Track: Speech and Language Processing

SPE-2.1: AUDIO-VISUAL MULTI-CHANNEL SPEECH SEPARATION, DEREVERBERATION AND RECOGNITION
Guinan Li, Jiajun Deng, Xunying Liu, Helen Meng, The Chinese University of Hong Kong, China; Jianwei Yu, Tencent AI lab, China

SPE-2.2: BEST OF BOTH WORLDS: MULTI-TASK AUDIO-VISUAL AUTOMATIC SPEECH RECOGNITION AND ACTIVE SPEAKER DETECTION
Otavio Braga, Olivier Siohan, Google, United States of America

SPE-2.3: End-to-end multi-modal speech recognition with air and bone conducted speech
Junqi Chen, Mou Wang, Northwestern Polytechnical University, China; Xiao-Lei Zhang, Northwestern Polytechnic University, China; Zhiyong Huang, Susanto Rahardja, National University of Singapore, Singapore

SPE-2.4: END-TO-END SPEECH RECOGNITION WITH JOINT DEREVERBERATION OF SUB-BAND AUTOREGRESSIVE ENVELOPES
Rohit Kumar, Anurenjan Purushothaman, Sriram Ganapathy, Indian Institute of Science, Bangalore, India; Anirudh Sreeram, University of Southern California, United States of America

SPE-2.5: IMPROVING NOISE ROBUSTNESS OF CONTRASTIVE SPEECH REPRESENTATION LEARNING WITH SPEECH RECONSTRUCTION
Heming Wang, DeLiang Wang, The Ohio State University, United States of America; Yao Qian, Xiaofei Wang, Yiming Wang, Chengyi Wang, Shujie Liu, Takuya Yoshioka, Jinyu Li, Microsoft Corporation, United States of America

SPE-2.6: MULTI-CHANNEL MULTI-SPEAKER ASR USING 3D SPATIAL FEATURE
Yiwen Shao, Johns Hopkins University, United States of America; Shi-Xiong Zhang, Dong Yu, Tencent AI Lab, United States of America