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Shimin Zhang

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.SD2
  • eess.AS2
same name
  • Shimin Zhang — 3 papers
  • Shimin Zhang — 1 paper
  • Shimin Zhang — 1 paper
  • Shimin Zhang — 1 paper
  • Shimin Zhang — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

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

62 citations · 100 across the 4 of their papers we have counts for

collaborators

4 papers

cs.SD2022★ 29 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.AS2021★ 7 cited

DCCRN+: Channel-wise Subband DCCRN with SNR Estimation for Speech Enhancement

Shubo Lv, Yanxin Hu, Shimin Zhang +1

Deep complex convolution recurrent network (DCCRN), which extends CRN with complex structure, has achieved superior performance in MOS evaluation in Interspeech 2020 deep noise sup…

cs.SD2020★ 2 cited

IEEE SLT 2021 Alpha-mini Speech Challenge: Open Datasets, Tracks, Rules and Baselines

Yihui Fu, Zhuoyuan Yao, Weipeng He +9

The IEEE Spoken Language Technology Workshop (SLT) 2021 Alpha-mini Speech Challenge (ASC) is intended to improve research on keyword spotting (KWS) and sound source location (SSL)…

eess.AS2020★ 62 cited

DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement

Yanxin Hu, Yun Liu, Shubo Lv +6

Speech enhancement has benefited from the success of deep learning in terms of intelligibility and perceptual quality. Conventional time-frequency (TF) domain methods focus on pred…

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