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Hui Song

4 papers hereh-index 6171 citations9 works total

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

author position
  • middle author3
  • last author1

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

fields
  • eess.AS3
  • cs.CL1
same name
  • Hui Song — 4 papers, h 6
  • Hui Song — 4 papers, h 1
  • Hui Song — 3 papers, h 3
  • Hui Song — 2 papers, h 12
  • Hui Song — 2 papers, h 3
  • Hui Song — 2 papers, h 4

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

most citedOn Loss Functions and Recurrency Training for GAN-based Speech Enhancement Systems

8 citations · 15 across the 3 of their papers we have counts for

collaborators

4 papers

eess.AS2020★ 1 cited

Deep Multi-task Network for Delay Estimation and Echo Cancellation

Yi Zhang, Chengyun Deng, Shiqian Ma +2

Echo path delay (or ref-delay) estimation is a big challenge in acoustic echo cancellation. Different devices may introduce various ref-delay in practice. Ref-delay inconsistency s…

eess.AS2020

Robust Speaker Extraction Network Based on Iterative Refined Adaptation

Chengyun Deng, Shiqian Ma, Yi Zhang +4

Speaker extraction aims to extract target speech signal from a multi-talker environment with interference speakers and surrounding noise, given the target speaker's reference infor…

eess.AS2020★ 8 cited

On Loss Functions and Recurrency Training for GAN-based Speech Enhancement Systems

Zhuohuang Zhang, Chengyun Deng, Yi Shen +5

Recent work has shown that it is feasible to use generative adversarial networks (GANs) for speech enhancement, however, these approaches have not been compared to state-of-the-art…

cs.CL2019★ 6 cited

DELTA: A DEep learning based Language Technology plAtform

Kun Han, Junwen Chen, Hui Zhang +20

In this paper we present DELTA, a deep learning based language technology platform. DELTA is an end-to-end platform designed to solve industry level natural language and speech pro…

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