Artefacts that serve to distinguish bona fide speech from spoofed or deepfake speech are
known to reside in specific subbands and temporal segments. Various approaches can be …

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 deal with channel …

The availability of smart devices leads to an exponential increase in multimedia content.
However, advancements in deep learning have also enabled the creation of highly …

Most of the voice spoofing detection methods are designed for specific kinds of spoofing
attacks, synthetic or replay. In practice, however, there is no prior information about these …

The availability of smart devices leads to an exponential increase in multimedia content.
However, the rapid advancements in deep learning have given rise to sophisticated …

Synthetic speech attacks bring more threats to Automatic Speaker Verification (ASV)
systems, thus many synthetic speech detection (SSD) systems have been proposed to help …

A great deal of recent research reveals that artifacts introduced by spoofing algorithms
reside in specific frequency subbands or temporal segments. Therefore, the performance of …

With the development of speech synthesis technology, the existing synthetic speech
detection (SSD) methods cannot generalize well for unknown synthesis algorithms. And …

Popular topics in the field of countermeasures include feature engineering and neural-
network-based models, which involve neural network architectures and loss criteria. This …

Voice anti-spoofing is an important step for secure speaker verification in voice-enabled
Internet of Things (IoT) systems. Most voice spoofing detection methods require significant …