A deepfake is content or material that is synthetically generated or manipulated using
artificial intelligence (AI) methods, to be passed off as real and can include audio, video …

Over the past few years, significant progress has been made in the field of presentation
attack detection (PAD) for automatic speaker recognition (ASV). This includes the …

With automatic speaker verification (ASV) systems becoming increasingly popular, the
development of robust countermeasures against spoofing is needed. Replay attacks pose a …

Automatic speaker verification, such as every other biometric system, is vulnerable to
spoofing attacks. Using only a few minutes of recorded voice from a genuine client of a …

Detecting a replay attack on a voice biometrics system comprises: receiving a speech signal;
generating an ultrasound signal; detecting a reflection of the generated ultrasound signal; …

Ubiquitous mobile devices have the potential to reduce the financial burden of healthcare
systems by providing scalable and cost-efficient health monitoring applications. Coughing is …

Automatic Speaker Verification (ASV) technology is vulnerable to various kinds of spoofing
attacks, including speech synthesis, voice conversion, and replay. Among them, the replay …

Automatic speaker verification (ASV) is an emerging biometric verification technique with
more and more applications. However, both verification accuracy and anti-spoofing should …

Replay attack presents a great threat to Automatic Speaker Verification (ASV) system. The
speech can be modeled as amplitude and frequency modulated (AM-FM) signals. In this …

Replay attack is most vulnerable to automatic speaker verification system, where the frauds
get the access by replaying pre-recorded voice samples of the genuine speakers. In this …