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Zhenyu Wang

14 papers hereh-index 6119 citations21 works total

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

author position
  • sole author1
  • first author8
  • middle author3
  • last author1

Across the 13 of 14 papers where every author was matched, so the position is known.

fields
  • cs.SD5
  • eess.AS4
  • cs.CL2
  • cs.CV2
  • cs.CR1
same name
  • Zhenyu Wang — 27 papers, h 17
  • Zhenyu Wang — 22 papers, h 15
  • Zhenyu Wang — 12 papers, h 4
  • Zhenyu Wang — 8 papers, h 9
  • Zhenyu Wang — 6 papers, h 4
  • Zhenyu Wang — 6 papers, h 6

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
20202026
most citedMulti-source Domain Adaptation for Text-independent Forensic Speaker Recognition

28 citations · 46 across the 13 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

cs.CL2024

Query-by-Example Keyword Spotting Using Spectral-Temporal Graph Attentive Pooling and Multi-Task Learning

Zhenyu Wang, Shuyu Kong, Li Wan +6

Existing keyword spotting (KWS) systems primarily rely on predefined keyword phrases. However, the ability to recognize customized keywords is crucial for tailoring interactions wi…

cs.SD2024

Disentangled Training with Adversarial Examples For Robust Small-footprint Keyword Spotting

Zhenyu Wang, Li Wan, Biqiao Zhang +5

A keyword spotting (KWS) engine that is continuously running on device is exposed to various speech signals that are usually unseen before. It is a challenging problem to build a s…

cs.SD2024★ 9 cited

Toward Improving Synthetic Audio Spoofing Detection Robustness via Meta-Learning and Disentangled Training With Adversarial Examples

Zhenyu Wang, John H. L. Hansen

Advances in automatic speaker verification (ASV) promote research into the formulation of spoofing detection systems for real-world applications. The performance of ASV systems can…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.