The rise of synthetic speech technologies has triggered growing concerns about the
increasing difficulty in distinguishing between real and fake voices. In this context, we …

Deepfake content-including audio, video, images, and text-synthesized or modified using
artificial intelligence is designed to convincingly mimic real content. As deepfake generation …

With the rapid development of artificial intelligence technology, the application of deepfake
technology in the audio field has gradually increased, resulting in a wide range of security …

Deepfake synthetic media, manipulated using artificial intelligence to mimic authenticity, has
become more dangerous in the modern digital era. Despite significant progress in video …

Deepfake audio causes damage not only to individuals and companies, but also to nations;
therefore, research on deepfake audio detection technology is crucial. Most existing …

As synthetic media techniques advance, the detection of manipulated audio content, known
as deepfake audio, has become increasingly important. With the rise of challenges in …

In this work, we investigate various state-of-the-art (SOTA) speech pre-trained models
(PTMs) for their capability to capture prosodic signatures of the generative sources for audio …

With the ever-rising quality of deep generative models, it is increasingly important to be able
to discern whether the audio data at hand have been recorded or synthesized. Although the …

This research presents a comparative analysis of various audio features and high-level
architectures for deefake detection with emphasis on computational efficiency. Several light …

Recent advancements in deep fake audio technology have led to the creation of highly
realistic synthetic voices that mimic human speech patterns. However, this technology raises …