most citedCausality Inspired Representation Learning for Domain Generalization

13 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG202213 cited

Causality Inspired Representation Learning for Domain Generalization

Fangrui Lv, Jian Liang, Shuang Li +4

Domain generalization (DG) is essentially an out-of-distribution problem, aiming to generalize the knowledge learned from multiple source domains to an unseen target domain. The ma…

cs.SD2021

Controllable Multichannel Speech Dereverberation based on Deep Neural Networks

Ziteng Wang, Yueyue Na, Biao Tian +1

Neural network based speech dereverberation has achieved promising results in recent studies. Nevertheless, many are focused on recovery of only the direct path sound and early ref…

cs.SD20211 cited

NN3A: Neural Network supported Acoustic Echo Cancellation, Noise Suppression and Automatic Gain Control for Real-Time Communications

Ziteng Wang, Yueyue Na, Biao Tian +1

Acoustic echo cancellation (AEC), noise suppression (NS) and automatic gain control (AGC) are three often required modules for real-time communications (RTC). This paper proposes a…

cs.SD2021

Joint Online Multichannel Acoustic Echo Cancellation, Speech Dereverberation and Source Separation

Yueyue Na, Ziteng Wang, Zhang Liu +2

This paper presents a joint source separation algorithm that simultaneously reduces acoustic echo, reverberation and interfering sources. Target speeches are separated from the mix…

cs.SD20211 cited

Weighted Recursive Least Square Filter and Neural Network based Residual Echo Suppression for the AEC-Challenge

Ziteng Wang, Yueyue Na, Zhang Liu +2

This paper presents a real-time Acoustic Echo Cancellation (AEC) algorithm submitted to the AEC-Challenge. The algorithm consists of three modules: Generalized Cross-Correlation wi…