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20212026
most citedINTERSPEECH 2021 ConferencingSpeech Challenge: Towards Far-field Multi-Channel Speech Enhancement for Video Conferencing

7 citations · 7 across the 7 of their papers we have counts for

collaborators

8 papers

cs.SD2026

CF-AVSS: A Coarse-to-Fine Audio-Visual Speech Separation Framework with Target-Speaker Refinement and Post-Fusion for Real-World AVSE Challenge

Longjie Luo, Zhongshu Hou, Yuepeng Li +3

Audio-visual speech enhancement (AVSE) leverages visual cues to recover target speech from mixtures corrupted by reverberation, noise, and overlapping speakers. We propose a coarse…

cs.SD2023

A High Fidelity and Low Complexity Neural Audio Coding

Wenzhe Liu, Wei Xiao, Meng Wang +6

Audio coding is an essential module in the real-time communication system. Neural audio codecs can compress audio samples with a low bitrate due to the strong modeling and generati…

cs.SD2023

Inter-SubNet: Speech Enhancement with Subband Interaction

Jun Chen, Wei Rao, Zilin Wang +5

Subband-based approaches process subbands in parallel through the model with shared parameters to learn the commonality of local spectrums for noise reduction. In this way, they ha…

eess.AS2023

TEA-PSE 3.0: Tencent-Ethereal-Audio-Lab Personalized Speech Enhancement System For ICASSP 2023 DNS Challenge

Yukai Ju, Jun Chen, Shimin Zhang +6

This paper introduces the Unbeatable Team's submission to the ICASSP 2023 Deep Noise Suppression (DNS) Challenge. We expand our previous work, TEA-PSE, to its upgraded version -- T…

cs.SD2022

Speech Enhancement with Fullband-Subband Cross-Attention Network

Jun Chen, Wei Rao, Zilin Wang +5

FullSubNet has shown its promising performance on speech enhancement by utilizing both fullband and subband information. However, the relationship between fullband and subband in F…

cs.SD2022

Speech Enhancement with Intelligent Neural Homomorphic Synthesis

Shulin He, Wei Rao, Jinjiang Liu +5

Most neural network speech enhancement models ignore speech production mathematical models by directly mapping Fourier transform spectrums or waveforms. In this work, we propose a…

cs.SD2022

ConferencingSpeech 2022 Challenge: Non-intrusive Objective Speech Quality Assessment (NISQA) Challenge for Online Conferencing Applications

Gaoxiong Yi, Wei Xiao, Yiming Xiao +10

With the advances in speech communication systems such as online conferencing applications, we can seamlessly work with people regardless of where they are. However, during online…

eess.AS2021★ 7 cited

INTERSPEECH 2021 ConferencingSpeech Challenge: Towards Far-field Multi-Channel Speech Enhancement for Video Conferencing

Wei Rao, Yihui Fu, Yanxin Hu +11

The ConferencingSpeech 2021 challenge is proposed to stimulate research on far-field multi-channel speech enhancement for video conferencing. The challenge consists of two separate…