Oct 17, 2024 · We present a comprehensive approach that integrates channel-robust preprocessing with advanced graph-based neural networks to enhance detection reliability.
We present a new approach to robust pitch tracking of speech in noise. We transform the audio signal to the time-frequency domain using a transmission-line ...
We introduce channel robust data augmentation methods that improve anti spoofing system performance with compressed data that has been transmitted, filtered and ...
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Our proposed several strategies (data augmentation, multi- task learning, adversarial learning) improve the robustness of. CM systems to channel variation.
In this paper we perform an in depth study of how data augmentation techniques improve synthetic or spoofed audio detection. Specifically, we propose methods to ...
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Oct 20, 2021 · In this paper, we perform an in-depth study of how data augmentation techniques improve synthetic or spoofed audio detection.
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Dec 9, 2024 · In this paper we perform an in depth study of how data augmentation techniques improve synthetic or spoofed audio detection.
The ASVspoof dataset is widely used in audio spoofing detection tasks and includes multiple types of attacks, primarily categorized as Logical Access (LA) and ...
In this paper we perform an in depth study of how data augmentation techniques improve synthetic or spoofed audio detection.
Missing: Strategies | Show results with:Strategies
Nov 11, 2024 · In this paper, we explore how data augmentation (DA) tech- niques can improve spoofed audio detection. Specifically, we.