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20192023
most citedAdversarial Attacks on Spoofing Countermeasures of automatic speaker verification

16 citations · 82 across the 23 of their papers we have counts for

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8 papers · 1 filter

eess.AS2023

Scalable Ensemble-based Detection Method against Adversarial Attacks for speaker verification

Haibin Wu, Heng-Cheng Kuo, Yu Tsao +1

Automatic speaker verification (ASV) is highly susceptible to adversarial attacks. Purification modules are usually adopted as a pre-processing to mitigate adversarial noise. Howev…

eess.AS2023★ 10 cited

SpeechGen: Unlocking the Generative Power of Speech Language Models with Prompts

Haibin Wu, Kai-Wei Chang, Yuan-Kuei Wu +1

Large language models (LLMs) have gained considerable attention for Artificial Intelligence Generated Content (AIGC), particularly with the emergence of ChatGPT. However, the direc…

eess.AS2022

Partially Fake Audio Detection by Self-attention-based Fake Span Discovery

Haibin Wu, Heng-Cheng Kuo, Naijun Zheng +5

The past few years have witnessed the significant advances of speech synthesis and voice conversion technologies. However, such technologies can undermine the robustness of broadly…

eess.AS2022

The CUHK-TENCENT speaker diarization system for the ICASSP 2022 multi-channel multi-party meeting transcription challenge

Naijun Zheng, Na Li, Xixin Wu +6

This paper describes our speaker diarization system submitted to the Multi-channel Multi-party Meeting Transcription (M2MeT) challenge, where Mandarin meeting data were recorded in…

eess.AS2021★ 9 cited

Adversarial defense for automatic speaker verification by cascaded self-supervised learning models

Haibin Wu, Xu Li, Andy T. Liu +3

Automatic speaker verification (ASV) is one of the core technologies in biometric identification. With the ubiquitous usage of ASV systems in safety-critical applications, more and…

eess.AS2020★ 10 cited

Defense for Black-box Attacks on Anti-spoofing Models by Self-Supervised Learning

Haibin Wu, Andy T. Liu, Hung-yi Lee

High-performance anti-spoofing models for automatic speaker verification (ASV), have been widely used to protect ASV by identifying and filtering spoofing audio that is deliberatel…

eess.AS2020★ 8 cited

Defense against adversarial attacks on spoofing countermeasures of ASV

Haibin Wu, Songxiang Liu, Helen Meng +1

Various forefront countermeasure methods for automatic speaker verification (ASV) with considerable performance in anti-spoofing are proposed in the ASVspoof 2019 challenge. Howeve…

eess.AS2019★ 16 cited

Adversarial Attacks on Spoofing Countermeasures of automatic speaker verification

Songxiang Liu, Haibin Wu, Hung-yi Lee +1

High-performance spoofing countermeasure systems for automatic speaker verification (ASV) have been proposed in the ASVspoof 2019 challenge. However, the robustness of such systems…