Easy access to audio-visual content on social media, combined with the availability of
modern tools such as Tensorflow or Keras, and open-source trained models, along with …

Deep Learning (DL) has been effectively utilized in various complicated challenges in
healthcare, industry, and academia for various purposes, including thyroid diagnosis, lung …

We present a neural analysis and synthesis (NANSY) framework that can manipulate the
voice, pitch, and speed of an arbitrary speech signal. Most of the previous works have …

A number of AI-generated tools are used today to clone human voices, leading to a new
technology known as Audio Deepfakes (ADs). Despite being introduced to enhance human …

In the rapidly evolving digital landscape, the generation of fake visual, audio, and textual
content poses a significant threat to the trust of society, political stability, and integrity of …

The unregulated proliferation of counterfeit news creation and dissemination that has been
seen in recent years poses a constant threat to democracy. Fake news articles have the …

Deep learning is used to address a wide range of challenging issues including large data
analysis, image processing, object detection, and autonomous control. In the same way …

In recent years, audio and video deepfake technology has advanced relentlessly, severely
impacting people's reputation and reliability. Several factors have facilitated the growing …

Thanks to recent advances in deep leaning, sophisticated generation tools exist, nowadays,
that produce extremely realistic synthetic speech. However, malicious uses of such tools are …

In recent years data science has been applied in a variety of real-life applications such as
human-computer interaction applications, computer gaming, mobile services, and emotion …