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-59: Emotion Recognition: General Topics II
Wed, 11 May, 22:00 - 22:45 China Time (UTC +8)
Wed, 11 May, 14:00 - 14:45 UTC
Location: Gather Area D
Session Chair: Chi-Chun (Jeremy) Lee, National Tsing Hua University
Track: Speech and Language Processing

SPE-59.1: CROSS-CORPUS SPEECH EMOTION RECOGNITION BASED ON FEW-SHOT LEARNING AND DOMAIN ADAPTATION
Youngdo Ahn, Jong Won Shin, Gwangju Institute of Science and Technology, Korea, Republic of; Sung Joo Lee, Electronics and Telecommunications Research Institute, Korea, Republic of

SPE-59.2: SERAB: A MULTI-LINGUAL BENCHMARK FOR SPEECH EMOTION RECOGNITION
Neil Scheidwasser-Clow, Pierre Beckmann, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland; Mikolaj Kegler, Imperial College London, United Kingdom of Great Britain and Northern Ireland; Milos Cernak, Logitech Europe S.A., Switzerland

SPE-59.3: Enhancing Privacy Through Domain Adaptive Noise Injection for Speech Emotion Recognition
Tiantian Feng, Hanieh Hashemi, Murali Annavaram, Shrikanth Narayanan, University of Southern California, United States of America

SPE-59.4: SELECTIVE MULTI-TASK LEARNING FOR SPEECH EMOTION RECOGNITION USING CORPORA OF DIFFERENT STYLES
Heran Zhang, Masato Mimura, Tatsuya Kawahara, Kyoto University, Japan; Kenkichi Ishizuka, Revcomm, Japan

SPE-59.5: FRONTEND ATTRIBUTES DISENTANGLEMENT FOR SPEECH EMOTION RECOGNITION
Yu-Xuan Xi, Yan Song, Li-Rong Dai, National Engineering Laboratory for Speech and Language Information Processing,University of Science and Technology of China, China; Ian McLoughlin, ICT Cluster, Singapore Institute of Technology, Singapore; Lin Liu, iFLYTEK Research, iFLYTEK CO., LTD, China

SPE-59.6: EXPLOITING ANNOTATORS’ TYPED DESCRIPTION OF EMOTION PERCEPTION TO MAXIMIZE UTILIZATION OF RATINGS FOR SPEECH EMOTION RECOGNITION
Huang-Cheng Chou, Wei-Cheng Lin, Carlos Busso, The University of Texas at Dallas, United States of America; Chi-Chun Lee, National Tsing Hua University,, Taiwan