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-10: Speech Recognition: Robust Speech Recognition II
Sun, 8 May, 22:00 - 22:45 China Time (UTC +8)
Sun, 8 May, 14:00 - 14:45 UTC
Location: Gather Area C
Session Chair: Giampiero Salvi, NTNU
Track: Speech and Language Processing

SPE-10.1: A TIME DOMAIN PROGRESSIVE LEARNING APPROACH WITH SNR CONSTRICTION FOR SINGLE-CHANNEL SPEECH ENHANCEMENT AND RECOGNITION

Zhaoxu Nian, Jun Du, University of Science and Technology of China, China; Yu Ting Yeung, Renyu Wang, Huawei Noah’s Ark Lab, China

SPE-10.2: A TWO-STEP APPROACH TO LEVERAGE CONTEXTUAL DATA: SPEECH RECOGNITION IN AIR-TRAFFIC COMMUNICATION

Iuliia Nigmatulina, Juan Zuluaga-Gomez, Amrutha Prasad, Seyyed Saeed Sarfjoo, Petr Motlicek, Idiap Research Institute, Switzerland

SPE-10.3: LEARNING TO ENHANCE OR NOT: NEURAL NETWORK-BASED SWITCHING OF ENHANCED AND OBSERVED SIGNALS FOR OVERLAPPING SPEECH RECOGNITION

Hiroshi Sato, Tsubasa Ochiai, Marc Delcroix, Keisuke Kinoshita, Naoyuki Kamo, Takafumi Moriya, NTT Corporation, Japan

SPE-10.4: INTERACTIVE FEATURE FUSION FOR END-TO-END NOISE-ROBUST SPEECH RECOGNITION

Yuchen Hu, Nana Hou, Chen Chen, Eng Siong Chng, Nanyang Technological University, Singapore

SPE-10.5: SPEAKER REINFORCEMENT USING TARGET SOURCE EXTRACTION FOR ROBUST AUTOMATIC SPEECH RECOGNITION

Catalin Zorila, Rama Doddipatla, Toshiba Cambridge Research Laboratory, United Kingdom of Great Britain and Northern Ireland

SPE-10.6: Mitigating Closed-model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition

Chao-Han Huck Yang, Georgia Institute of Technology, United States of America; Zeeshan Ahmed, Yile Gu, Joseph Szurley, Roger Ren, Linda Liu, Andreas Stolcke, Ivan Bulyko, Amazon, United States of America