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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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Showing 2023Show all

5 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…

cs.SD2023★ 7 cited

The defender's perspective on automatic speaker verification: An overview

Haibin Wu, Jiawen Kang, Lingwei Meng +2

Automatic speaker verification (ASV) plays a critical role in security-sensitive environments. Regrettably, the reliability of ASV has been undermined by the emergence of spoofing…

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…

cs.SD2023★ 1 cited

Unified Modeling of Multi-Talker Overlapped Speech Recognition and Diarization with a Sidecar Separator

Lingwei Meng, Jiawen Kang, Mingyu Cui +3

Multi-talker overlapped speech poses a significant challenge for speech recognition and diarization. Recent research indicated that these two tasks are inter-dependent and compleme…

cs.SD2023★ 1 cited

Rethinking complex-valued deep neural networks for monaural speech enhancement

Haibin Wu, Ke Tan, Buye Xu +2

Despite multiple efforts made towards adopting complex-valued deep neural networks (DNNs), it remains an open question whether complex-valued DNNs are generally more effective than…