DeepLASD countermeasure for logical access audio spoofing

DeepLASD countermeasure for logical access audio spoofing

Abstract Voice-based authentication systems have become increasingly vulnerable to logical access (LA) spoofing through sophisticated voice conversion (VC) and text-to-speech (TTS) attacks. This paper proposes an end-to-end deep learning approach DeepLASD, that processes raw waveforms to detect spoo...

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Bibliographic Details
Main Authors: Hamed Al-Tairi, Ali Javed, Tasawer Khan, Abdul Khader Jilani Saudagar
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Automatic speaker verification
Deep learning
Logical access attacks
Spoof detection
Text-to-speech synthesis
Voice conversion
Online Access:https://doi.org/10.1038/s41598-025-04808-5
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https://doi.org/10.1038/s41598-025-04808-5

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