The attacker's perspective on automatic speaker verification: An overview
Security of automatic speaker verification (ASV) systems is compromised by various
spoofing attacks. While many types of non-proactive attacks (and their defenses) have been …
spoofing attacks. While many types of non-proactive attacks (and their defenses) have been …
ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech
Automatic speaker verification (ASV) is one of the most natural and convenient means of
biometric person recognition. Unfortunately, just like all other biometric systems, ASV is …
biometric person recognition. Unfortunately, just like all other biometric systems, ASV is …
[PDF][PDF] Generalization of Audio Deepfake Detection.
Audio Deepfakes, technically known as logical-access voice spoofing techniques, have
become an increased threat on voice interfaces due to the recent breakthroughs in speech …
become an increased threat on voice interfaces due to the recent breakthroughs in speech …
Light convolutional neural network with feature genuinization for detection of synthetic speech attacks
Modern text-to-speech (TTS) and voice conversion (VC) systems produce natural sounding
speech that questions the security of automatic speaker verification (ASV). This makes …
speech that questions the security of automatic speaker verification (ASV). This makes …
Synthetic speech detection through short-term and long-term prediction traces
Several methods for synthetic audio speech generation have been developed in the
literature through the years. With the great technological advances brought by deep …
literature through the years. With the great technological advances brought by deep …
Speech is silver, silence is golden: What do ASVspoof-trained models really learn?
We present our analysis of a significant data artifact in the official 2019/2021 ASVspoof
Challenge Dataset. We identify an uneven distribution of silence duration in the training and …
Challenge Dataset. We identify an uneven distribution of silence duration in the training and …
Long range acoustic and deep features perspective on ASVspoof 2019
To secure automatic speaker verification (ASV) systems from intruders, robust
countermeasures for spoofing attack detection are required. The ASVspoof series of …
countermeasures for spoofing attack detection are required. The ASVspoof series of …
[PDF][PDF] Pindrop labs' submission to the ASVspoof 2021 challenge
Voice spoofing has become a great threat to automatic speaker verification (ASV) systems
due to the rapid development of the speech synthesis and voice conversion techniques …
due to the rapid development of the speech synthesis and voice conversion techniques …
[PDF][PDF] Long Range Acoustic Features for Spoofed Speech Detection.
Speaker verification systems in practice are vulnerable to spoofing attacks. The high quality
recording and playback devices make replay attack a real threat to speaker verification …
recording and playback devices make replay attack a real threat to speaker verification …
Assessing the scope of generalized countermeasures for anti-spoofing
Most of the research on anti-spoofing countermeasures are specific to a type of spoofing
attacks, where models are trained on data of a particular nature, either synthetic or replay …
attacks, where models are trained on data of a particular nature, either synthetic or replay …