Technical Program

Click on the icon to view the manuscript on IEEE XPlore in the IEEE ICASSP 2020 Open Preview.

SPE-P8: Robust Speech Recognition

Session Type: Poster
Time: Wednesday, 6 May, 11:30 - 13:30
Location: On-Demand
Virtual Session: View on Virtual Platform
Session Chairs: Ozlem Kalinli, Apple and Ebru Arisoy-Saraclar, MEF University
 
 SPE-P8.1: IMPROVING REVERBERANT SPEECH TRAINING USING DIFFUSE ACOUSTIC SIMULATION
         Zhenyu Tang; University of Maryland
         Lianwu Chen; Tencent AI Lab
         Bo Wu; Tencent AI Lab
         Dong Yu; Tencent AI Lab
         Dinesh Manocha; University of Maryland
 
 SPE-P8.2: LOW-FREQUENCY COMPENSATED SYNTHETIC IMPULSE RESPONSES FOR IMPROVED FAR-FIELD SPEECH RECOGNITION
         Zhenyu Tang; University of Maryland
         Hsien-Yu Meng; University of Maryland
         Dinesh Manocha; University of Maryland
 
 SPE-P8.3: AIPNET: GENERATIVE ADVERSARIAL PRE-TRAINING OF ACCENT-INVARIANT NETWORKS FOR END-TO-END SPEECH RECOGNITION
         Yi-Chen Chen; National Taiwan University
         Zhaojun Yang; Facebook
         Ching-Feng Yeh; Facebook
         Mahaveer Jain; Facebook
         Michael L. Seltzer; Facebook
 
 SPE-P8.4: AUDIO-VISUAL RECOGNITION OF OVERLAPPED SPEECH FOR THE LRS2 DATASET
         Jianwei Yu; Chinese University of Hong Kong
         Shi-Xiong Zhang; Tencent AI Lab
         Jian Wu; Tencent
         Shahram Ghorbani; University of Texas at Dallas
         Bo Wu; Tencent
         Shiyin Kang; Tencent
         Shansong Liu; Chinese University of Hong Kong
         Xunying Liu; Chinese University of Hong Kong
         Helen Meng; Chinese University of Hong Kong
         Dong Yu; Tencent
 
 SPE-P8.5: MULTI-TASK SELF-SUPERVISED LEARNING FOR ROBUST SPEECH RECOGNITION
         Mirco Ravanelli; Université de Montréal
         Jianyuan Zhong; University of Rochester
         Santiago Pascual; Universitat Politecnica de Catalunya
         Pawel Swietojanski; University of New South Wales
         Joao Monteiro; Institut National de la Recherche Scientifique/Computer Research Institute of Montréal
         Jan Trmal; Johns Hopkins University
         Yoshua Bengio; Université de Montréal
 
 SPE-P8.6: END-TO-END MULTI-PERSON AUDIO/VISUAL AUTOMATIC SPEECH RECOGNITION
         Otavio Braga; Google
         Takaki Makino; Google
         Olivier Siohan; Google
         Hank Liao; Google
 
 SPE-P8.7: END-TO-END AUTOMATIC SPEECH RECOGNITION INTEGRATED WITH CTC-BASED VOICE ACTIVITY DETECTION
         Takenori Yoshimura; Nagoya University
         Tomoki Hayashi; Nagoya University
         Kazuya Takeda; Nagoya University
         Shinji Watanabe; Johns Hopkins University
 
 SPE-P8.8: END-TO-END TRAINING OF TIME DOMAIN AUDIO SEPARATION AND RECOGNITION
         Thilo von Neumann; Paderborn University
         Keisuke Kinoshita; NTT
         Lukas Drude; Paderborn University
         Christoph Boeddeker; Paderborn University
         Marc Delcroix; NTT
         Tomohiro Nakatani; NTT
         Reinhold Haeb-Umbach; Paderborn University
 
 SPE-P8.9: IMPROVING NOISE ROBUST AUTOMATIC SPEECH RECOGNITIONWITH SINGLE-CHANNEL TIME-DOMAIN ENHANCEMENT NETWORK
         Keisuke Kinoshita; NTT
         Tsubasa Ochiai; NTT
         Marc Delcroix; NTT
         Tomohiro Nakatani; NTT
 
 SPE-P8.10: A PRACTICAL TWO-STAGE TRAINING STRATEGY FOR MULTI-STREAM END-TO-END SPEECH RECOGNITION
         Ruizhi Li; Johns Hopkins University
         Gregory Sell; Johns Hopkins University
         Xiaofei Wang; Microsoft
         Shinji Watanabe; Johns Hopkins University
         Hynek Hermansky; Johns Hopkins University
 
 SPE-P8.11: MULTI-SCALE OCTAVE CONVOLUTIONS FOR ROBUST SPEECH RECOGNITION
         Joanna Rownicka; University of Edinburgh
         Peter Bell; University of Edinburgh
         Steve Renals; University of Edinburgh
 
 SPE-P8.12: LEARNING NOISE INVARIANT FEATURES THROUGH TRANSFER LEARNING FOR ROBUST END-TO-END SPEECH RECOGNITION
         Shucong Zhang; University of Edinburgh
         Cong-Thanh Do; Toshiba Research Europe Limited Company
         Rama Doddipatla; Toshiba Research Europe Limited Company
         Steve Renals; University of Edinburgh