activity
20202022
most citedDCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement

62 citations · 117 across the 8 of their papers we have counts for

collaborators

9 papers

eess.AS20229 cited

spatial-dccrn: dccrn equipped with frame-level angle feature and hybrid filtering for multi-channel speech enhancement

Shubo Lv, Yihui Fu, Yukai Jv +4

Recently, multi-channel speech enhancement has drawn much interest due to the use of spatial information to distinguish target speech from interfering signal. To make full use of s…

cs.SD2022

Summary On The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Grand Challenge

Fan Yu, Shiliang Zhang, Pengcheng Guo +13

The ICASSP 2022 Multi-channel Multi-party Meeting Transcription Grand Challenge (M2MeT) focuses on one of the most valuable and the most challenging scenarios of speech technologie…

cs.SD202229 cited

Multi-Task Deep Residual Echo Suppression with Echo-aware Loss

Shimin Zhang, Ziteng Wang, Jiayao Sun +4

This paper introduces the NWPU Team's entry to the ICASSP 2022 AEC Challenge. We take a hybrid approach that cascades a linear AEC with a neural post-filter. The former is used to…

eess.AS20217 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

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.SD20216 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:…