activity
20202025
most citedDCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement

62 citations · 142 across the 15 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

eess.AS2021★ 4 cited

S-DCCRN: Super Wide Band DCCRN with learnable complex feature for speech enhancement

Shubo Lv, Yihui Fu, Mengtao Xing +5

In speech enhancement, complex neural network has shown promising performance due to their effectiveness in processing complex-valued spectrum. Most of the recent speech enhancemen…

eess.AS2021★ 2 cited

Uformer: A Unet based dilated complex & real dual-path conformer network for simultaneous speech enhancement and dereverberation

Yihui Fu, Yun Liu, Jingdong Li +4

Complex spectrum and magnitude are considered as two major features of speech enhancement and dereverberation. Traditional approaches always treat these two features separately, ig…

cs.SD2021★ 11 cited

M2MeT: The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Challenge

Fan Yu, Shiliang Zhang, Yihui Fu +9

Recent development of speech processing, such as speech recognition, speaker diarization, etc., has inspired numerous applications of speech technologies. The meeting scenario is o…

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…

cs.SD2021★ 8 cited

AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenario

Yihui Fu, Luyao Cheng, Shubo Lv +10

In this paper, we present AISHELL-4, a sizable real-recorded Mandarin speech dataset collected by 8-channel circular microphone array for speech processing in conference scenario.…

cs.SD2021★ 6 cited

The NPU System for the 2020 Personalized Voice Trigger Challenge

Jingyong Hou, Li Zhang, Yihui Fu +4

This paper describes the system developed by the NPU team for the 2020 personalized voice trigger challenge. Our submitted system consists of two independently trained subsystems:…