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Qing Wang

19 papers hereh-index 11469 citations24 works total

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

author position
  • first author6
  • middle author13

Across the 19 of 19 papers where every author was matched, so the position is known.

fields
  • cs.SD13
  • eess.AS6
same name
  • Qing Wang — 45 papers, h 9
  • Qing Wang — 34 papers, h 14
  • Qing Wang — 31 papers, h 17
  • Qing Wang — 13 papers, h 35
  • Qing Wang — 12 papers, h 33
  • Qing Wang — 11 papers, h 8

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
20202025
most citedInaudible Adversarial Perturbations for Targeted Attack in Speaker Recognition

12 citations · 33 across the 19 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.SD2023

Timbre-reserved Adversarial Attack in Speaker Identification

Qing Wang, Jixun Yao, Li Zhang +2

As a type of biometric identification, a speaker identification (SID) system is confronted with various kinds of attacks. The spoofing attacks typically imitate the timbre of the t…

cs.SD2023★ 1 cited

The FlySpeech Audio-Visual Speaker Diarization System for MISP Challenge 2022

Li Zhang, Huan Zhao, Yue Li +6

This paper describes the FlySpeech speaker diarization system submitted to the second \textbf{M}ultimodal \textbf{I}nformation Based \textbf{S}peech \textbf{P}rocessing~(\textbf{MI…

cs.SD2023★ 1 cited

Pseudo-Siamese Network based Timbre-reserved Black-box Adversarial Attack in Speaker Identification

Qing Wang, Jixun Yao, Ziqian Wang +2

In this study, we propose a timbre-reserved adversarial attack approach for speaker identification (SID) to not only exploit the weakness of the SID model but also preserve the tim…

cs.SD2023

Distance-based Weight Transfer from Near-field to Far-field Speaker Verification

Li Zhang, Qing Wang, Hongji Wang +4

The scarcity of labeled far-field speech is a constraint for training superior far-field speaker verification systems. Fine-tuning the model pre-trained on large-scale near-field s…

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