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-L1: Emotion and Paralinguistic Speech Processing
Tue, 24 May, 13:00 - 15:30 China Time (UTC +8)
Tue, 24 May, 05:00 - 07:30 UTC
Location: Simpor Junior Ballroom 4811-3
Session Co-Chairs: Eliathamby (Ambi) Ambikairajah, UNSW, Sydney and Jong Won Shin, Gwangju Institute of Science and Technology
Track: Speech and Language Processing

SPE-L1.1: MODELING OF PRE-TRAINED NEURAL NETWORK EMBEDDINGS LEARNED FROM RAW WAVEFORM FOR COVID-19 INFECTION DETECTION
Zohreh Mostaani, RaviShankar Prasad, Bogdan Vlasenko, Mathew Magimai Doss, Idiap Research Institute, Switzerland

SPE-L1.2: DUAL ATTENTION POOLING NETWORK FOR RECORDING DEVICE CLASSIFICATION USING NEUTRAL AND WHISPERED SPEECH
Abinay Reddy Naini, Prasanta Kumar Ghosh, Indian Institute of Science, Bangalore, India; Bhavuk Singhal, Information Technology, Bundelkhand Institute of Engineering and Technology, Jhansi, India, India

SPE-L1.3: MULTI-LINGUAL MULTI-TASK SPEECH EMOTION RECOGNITION USING WAV2VEC 2.0
Mayank Sharma, Amazon, India

SPE-L1.4: REPRESENTATION LEARNING THROUGH CROSS-MODAL CONDITIONAL TEACHER-STUDENT TRAINING FOR SPEECH EMOTION RECOGNITION
Sundararajan Srinivasan, Zhaocheng Huang, Katrin Kirchhoff, Amazon.com, United States of America

SPE-L1.5: 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

SPE-L1.6: Multimodal Sentiment Analysis on Unaligned Sequences via Holographic Embedding
Yukun Ma, Bin Ma, Alibaba Group, Singapore

SPE-L1.7: Multimodal Transformer With Learnable Frontend and Self Attention for Emotion Recognition
Soumya Dutta, Sriram Ganapathy, LEAP lab, Indian Institute of Science, Bangalore, India., India

SPE-L1.8: A NOVEL SEQUENTIAL MONTE CARLO FRAMEWORK FOR PREDICTING AMBIGUOUS EMOTION STATES
Jingyao Wu, Vidhyasaharan Sethu, Eliathamby Ambikairajah, University of New South Wales, Australia; Ting Dang, University of Cambidge, United Kingdom of Great Britain and Northern Ireland

SPE-L1.9: CUSTOMER SATISFACTION ESTIMATION USING UNSUPERVISED REPRESENTATION LEARNING WITH MULTI-FORMAT PREDICTION LOSS
Atsushi Ando, Yumiko Murata, Ryo Masumura, Satoshi Suzuki, Naoki Makishima, Takafumi Moriya, Takanori Ashihara, Hiroshi Sato, NTT Corporation, Japan

SPE-L1.10: 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