InterSpeech 2021

ConferencingSpeech 2021 challenge: Far-field Multi-Channel Speech Enhancement for Video Conferencing

A Causal U-net based Neural Beamforming Network for Real-Time Multi-Channel Speech Enhancement
(Oral presentation)

Xinlei Ren (Kuaishou Technology, China), Xu Zhang (Kuaishou Technology, China), Lianwu Chen (Kuaishou Technology, China), Xiguang Zheng (Kuaishou Technology, China), Chen Zhang (Kuaishou Technology, China), Liang Guo (Kuaishou Technology, China), Bing Yu (Kuaishou Technology, China)

A Partitioned-Block Frequency-Domain Adaptive Kalman Filter for Stereophonic Acoustic Echo Cancellation
(Oral presentation)

Rui Zhu (Tencent, China), Feiran Yang (CAS, China), Yuepeng Li (Tencent, China), Shidong Shang (Tencent, China)

Real-Time Independent Vector Analysis Using Semi-Supervised Nonnegative Matrix Factorization as a Source Model
(Oral presentation)

Taihui Wang (CAS, China), Feiran Yang (CAS, China), Rui Zhu (Tencent, China), Jun Yang (CAS, China)

Improving Channel Decorrelation for Multi-Channel Target Speech Extraction
(Oral presentation)

Jiangyu Han (Shanghai Normal University, China), Wei Rao (Tencent, China), Yannan Wang (Tencent, China), Yanhua Long (Shanghai Normal University, China)

Inplace Gated Convolutional Recurrent Neural Network For Dual-channel Speech Enhancement
(Oral presentation)

Jinjiang Liu (Inner Mongolia University, China), Xueliang Zhang (Inner Mongolia University, China)