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Apr 8, 2024 · The current article presents a slightly different binomial analysis, leading to an explicit identity for the interpolant amplitude, and a ...
In this paper, we show that such systems are vulnerable to adversarial example attacks. Adversarial examples are generated by adding a peculiar noise to ...
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Sep 1, 2024 · Speaker verification is designed to determine whether a given speech sample cames from the claimed speaker. The prevalent. ASV systems ...
Oct 22, 2023 · DAP first introduces controlled noise into adversarial examples, and then performs a reverse denoising process to reconstruct clean audio.
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In this paper, we adopt neural vocoders to spot adversarial samples for ASV. We use the neural vocoder to re-synthesize audio and find that the difference ...
Adversarial attacks aim to lead the SR models to wrong decisions by introducing imperceptible perturbations to clean audio samples. In these years, deep ...
Nov 10, 2022 · Abstract—Adversarial examples of speaker verification (SV) systems are the clean audio recordings added with imperceptible perturbation.
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Feb 5, 2024 · Recently, Jaesung et al. (huh2020augmentation, ) proposed an augmentation adversarial training method for self-supervised speaker recognition.
Adversarial attacks and defenses in Speaker Recognition Systems
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The signal processing-based attacks use signal processing techniques to generate adversarial examples. Although these attacks do not directly target machine ...
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In particular, by adding a well-crafted inconspicuous noise to the original audio, our attack can fool the speaker recognition system to make false predictions.