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Lin Zhang

7 papers hereh-index 331 citations8 works total

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

author position
  • middle author7

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • eess.AS5
  • cs.SD2
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

activity
20242026
most citedBUT Systems and Analyses for the ASVspoof 5 Challenge

8 citations · 8 across the 7 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

eess.AS2025

BUT Systems for WildSpoof Challenge: SASV in the Wild

Junyi Peng, Jin Li, Johan Rohdin +3

This paper presents the BUT submission to the WildSpoof Challenge, focusing on the Spoofing-robust Automatic Speaker Verification (SASV) track. We propose a SASV framework designed…

eess.AS2025

BUT Systems for Environmental Sound Deepfake Detection in the ESDD 2026 Challenge

Junyi Peng, Lin Zhang, Jin Li +2

This paper describes the BUT submission to the ESDD 2026 Challenge, specifically focusing on Track 1: Environmental Sound Deepfake Detection with Unseen Generators. To address the…

eess.AS2025

Hybrid Pruning: In-Situ Compression of Self-Supervised Speech Models for Speaker Verification and Anti-Spoofing

Junyi Peng, Lin Zhang, Jiangyu Han +5

Although large-scale self-supervised learning (SSL) models like WavLM have achieved state-of-the-art performance in speech processing, their significant size impedes deployment on…

eess.AS2025

Analysis of ABC Frontend Audio Systems for the NIST-SRE24

Sara Barahona, Anna Silnova, Ladislav Mošner +14

We present a comprehensive analysis of the embedding extractors (frontends) developed by the ABC team for the audio track of NIST SRE 2024. We follow the two scenarios imposed by N…

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