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 …

Synthetic realities are digital creations or augmentations that are contextually generated
through the use of Artificial Intelligence (AI) methods, leveraging extensive amounts of data …

Audio deepfake detection is an emerging topic, which was included in the ASVspoof 2021.
However, the recent shared tasks have not covered many real-life and challenging …

Audio deepfake detection is an emerging topic in the artificial intelligence community. The
second Audio Deepfake Detection Challenge (ADD 2023) aims to spur researchers around …

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 …

This work presents our systems for the ADD2022 challenge. The ADD2022 challenge is the
first audio deep synthesis detection challenge, which aims to spot various kinds of fake …

Although recent advances in voice conversion have shown significant improvement, there
still remains a gap between the converted voice and target voice. A key factor that maintains …

Audio deepfake detection is an emerging active topic. A growing number of literatures have
aimed to study deepfake detection algorithms and achieved effective performance, the …

Fake audio detection is a growing concern and some relevant datasets have been designed
for research. However, there is no standard public Chinese dataset under complex …

Automatic speaker verification is susceptible to various manipulations and spoofing, such as
text-to-speech synthesis, voice conversion, replay, tampering, adversarial attacks, and so …