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-5: Speaker Recognition I: Self Supervision
Sun, 8 May, 21:00 - 21:45 China Time (UTC +8)
Sun, 8 May, 13:00 - 13:45 UTC
Location: Gather Area B
Session Chair: Sayaka Shiota, Tokyo Metropolitan University
Track: Speech and Language Processing

SPE-5.1: SELF-SUPERVISED SPEAKER VERIFICATION WITH SIMPLE SIAMESE NETWORK AND SELF-SUPERVISED REGULARIZATION
Mufan Sang, The University of Texas at Dallas, United States of America; Haoqi Li, Fang Liu, Andrew O. Arnold, Li Wan, Amazon, United States of America

SPE-5.2: Self-supervised Speaker Recognition Training Using Human-Machine Dialogues
Metehan Cekic, Upamanyu Madhow, UCSB, United States of America; Ruirui Li, Zeya Chen, Yuguang Yang, Andreas Stolcke, Amazon, United States of America

SPE-5.3: MULTI-TASK VOICE ACTIVATED FRAMEWORK USING SELF-SUPERVISED LEARNING
Shehzeen Hussain, University of California, San Diego, United States of America; Van Nguyen, Shuhua Zhang, Erik Visser, Qualcomm Technologies, Inc., United States of America

SPE-5.4: SELF-SUPERVISED SPEAKER RECOGNITION WITH LOSS-GATED LEARNING
Ruijie Tao, Ville Hautamäki, Haizhou Li, National University of Singapore, Singapore; Kong Aik Lee, A*STAR, Singapore; Rohan Kumar Das, Fortemedia Singapore, Singapore

SPE-5.5: LARGE-SCALE SELF-SUPERVISED SPEECH REPRESENTATION LEARNING FOR AUTOMATIC SPEAKER VERIFICATION
Zhengyang Chen, Yanmin Qian, Shanghai Jiao Tong University, China; Sanyuan Chen, Yu Wu, Yao Qian, Chengyi Wang, Shujie Liu, Michael Zeng, Microsoft Corporation, China

SPE-5.6: UNISPEECH-SAT: UNIVERSAL SPEECH REPRESENTATION LEARNING WITH SPEAKER AWARE PRE-TRAINING
Sanyuan Chen, Xiangzhan Yu, Harbin Institute of Technology, China; Yu Wu, Chengyi Wang, Zhengyang Chen, Zhuo Chen, Shujie Liu, Jian Wu, Yao Qian, Furu Wei, Jinyu Li, Microsoft Corporation, China