@inproceedings{6e29b29c651649648c92fb0df99d1d9c,
title = "EVA-ASCA: Enhancing Voice Anti-Spoofing through Attention-based Similarity Weights and Contrastive Negative Attractors",
abstract = "Voice spoofing attacks pose an escalating security concern within the contemporary digital landscape. Attackers employ techniques such as voice conversion (VC) and text-to-speech (TTS) to generate a synthetic speech that replicates the victim's voice, to illicitly access sensitive data. Detection of these attacks hinges on identifying anomalies in audio transmission resulting from these deceptive activities. Anomalies arise from encoding and transmission conditions that are not commonly encountered, particularly in situations such as local authentication or telephony. To address this issue, our study presents a strategy featuring pivotal enhancement: Attention-based Similarity Weights and Contrastive Negative Attractors. This technique clusters authentic speeches around multiple speaker attractors together in a high-dimensional embedding space, effectively thwarting spoofing attacks across all attractors. Experimental results substantiate the superiority of our system, yielding a substantial 1.09% improvement in the equal error rate (EER) when compared to existing solutions on the ASVspoof 2019 LA evaluation dataset.",
keywords = "Automatic Speaker Verification, Security, Spoofing Attacks, Voice Anti-Spoofing",
author = "Nghi Tran and Bima Prihasto and Le, {Phuong Thi} and Thao Tran and Lu, {Chun Shien} and Wang, {Jia Ching}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2nd IEEE Conference on Artificial Intelligence, CAI 2024 ; Conference date: 25-06-2024 Through 27-06-2024",
year = "2024",
doi = "10.1109/CAI59869.2024.00106",
language = "???core.languages.en_GB???",
series = "Proceedings - 2024 IEEE Conference on Artificial Intelligence, CAI 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "537--540",
booktitle = "Proceedings - 2024 IEEE Conference on Artificial Intelligence, CAI 2024",
}