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MesoNet: a Compact Facial Video Forgery Detection Network
A method to automatically and efficiently detect face tampering in videos, and particularly focuses on two recent techniques used to generate hyper-realistic forged videos: Deepfake and Face2Face.
The HMM-based speech synthesis system (HTS) version 2.0
This paper describes HTS version 2.0 in detail, as well as future release plans, which include a number of new features which are useful for both speech synthesis researchers and developers.
ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection
The 2019 database, protocols and challenge results are described, and major findings which demonstrate the real progress made in protecting against the threat of spoofing and fake audio are outlined.
The ASVspoof 2017 Challenge: Assessing the Limits of Replay Spoofing Attack Detection
ASVspoof 2017, the second in the series, focused on the development of replay attack countermeasures and indicates that the quest for countermeasures which are resilient in the face of variable replay attacks remains very much alive.
Speech Synthesis Based on Hidden Markov Models
This paper gives a general overview of hidden Markov model (HMM)-based speech synthesis, which has recently been demonstrated to be very effective in synthesizing speech. The main advantage of this
ASVspoof 2015: the first automatic speaker verification spoofing and countermeasures challenge
The ASVspoof initiative aims to overcome the lack of standards through the provision of standard corpora, protocols and metrics to support a common evaluation of automatic speaker verification technology.
Capsule-forensics: Using Capsule Networks to Detect Forged Images and Videos
The method introduced in this paper uses a capsule network to detect various kinds of spoofs, from replay attacks using printed images or recorded videos to computer-generated videos using deep convolutional neural networks.