Deep Noise Suppression Challenge – INTERSPEECH 2021

Region: Global

Track 1 results:

The accepted papers for Track 1 are given below. Papers were accepted through the normal INTERSPEECH peer-review process.

Place	Performance Rank	Team	Authors	Title
1	1	Chinese Academy of Sciences	Andong Li, Wenzhe Liu, Xiaoxue Luo, Guochen Yu, Chengshi Zheng, Xiaodong Li	A simultaneous denoising and dereverberation framework with target decoupling (opens in new tab)
2	2	Nanjing University, Horizon Robotics, Nanjing Institute of Advanced Artificial Intelligence	Xiaohuai Le, Hongsheng Chen, Kai Chen, Jing Lu	DPCRN: Dual-Path Convolution Recurrent Network for Single Channel Speech Enhancement (opens in new tab)
3	3	Northwestern Polytechnical University	Shubo Lv , Yanxin Hu , Shimin Zhang, Lei Xie	Dccrn+: Channel-wise subband dccrn with snr estimation for speech enhancement (opens in new tab)
4	5	Inner Mongolia University	Kanghao Zhang, Shulin He, Hao Li, Xueliang Zhang	DBNet: A Dual-branch Network Architecture Processing on Spectrum and Waveform for Single-channel Speech Enhancement (opens in new tab)
5	6	Kuaishou Technology Co	Xu Zhang, Xinlei Ren, Xiguang Zheng, Lianwu Chen, Chen Zhang, Liang Guo, Bing Yu	Low-Delay Speech Enhancement Using Perceptually Motivated Target and Loss (opens in new tab)
6	9	Technische Universit¨at Braunschwe	Ziyi Xu, Maximilian Strake, Tim Fingscheid	Deep noise suppression with non-intrusive pesqnet supervision enabling the use of real training data (opens in new tab)
7	10	University of Science and Technology of China	Koen Oostermeijer, Qing Wang, Jun Du	Lightweight Causal Transformer with Local Self-Attention for Real-Time Speech Enhancement (opens in new tab)