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Lin Zhang

4 papers hereh-index 6114 citations19 works total

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

author position
  • middle author4

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

fields
  • cs.SD3
  • eess.AS1
same name
  • Lin Zhang — 55 papers, h 14
  • Lin Zhang — 16 papers, h 13
  • Lin Zhang — 16 papers, h 11
  • Lin Zhang — 10 papers, h 7
  • Lin Zhang — 9 papers, h 23
  • Lin Zhang — 9 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 citedTMS: A Temporal Multi-scale Backbone Design for Speaker Embedding

5 citations · 10 across the 4 of their papers we have counts for

collaborators

4 papers

cs.SD2022★ 2 cited

Deep Spectro-temporal Artifacts for Detecting Synthesized Speech

Xiaohui Liu, Meng Liu, Lin Zhang +7

The Audio Deep Synthesis Detection (ADD) Challenge has been held to detect generated human-like speech. With our submitted system, this paper provides an overall assessment of trac…

eess.AS2022★ 3 cited

Spoofing-Aware Attention based ASV Back-end with Multiple Enrollment Utterances and a Sampling Strategy for the SASV Challenge 2022

Chang Zeng, Lin Zhang, Meng Liu +1

Current state-of-the-art automatic speaker verification (ASV) systems are vulnerable to presentation attacks, and several countermeasures (CMs), which distinguish bona fide trials…

cs.SD2022★ 5 cited

TMS: A Temporal Multi-scale Backbone Design for Speaker Embedding

Ruiteng Zhang, Jianguo Wei, Xugang Lu +6

Speaker embedding is an important front-end module to explore discriminative speaker features for many speech applications where speaker information is needed. Current SOTA backbon…

cs.SD2021

CS-Rep: Making Speaker Verification Networks Embracing Re-parameterization

Ruiteng Zhang, Jianguo Wei, Wenhuan Lu +4

Automatic speaker verification (ASV) systems, which determine whether two speeches are from the same speaker, mainly focus on verification accuracy while ignoring inference speed.…

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