Ricerc@Sapienza

This paper presents an interactive liveness detection approach
against presentation attacks. It aims to minimize the impact on the
user, who is only asked to produce single head movements. The described
approach combines two methods: (1) single-photo liveness estimation
based on CNN implementation, and (2) interactive liveness estimation
based on head movements detected from two video frames extracted
before and during the movement. The resulting system is designed to
work on smartphones and by web-cameras. An appropriate database was

The results of spoofing detection systems proposed during ASVspoof Challenges 2015 and 2017 confirmed the perspective in detection of unforseen spoofing trials in microphone channel. However, telephone channel presents much more challenging conditions for spoofing detection, due to limited bandwidth, various coding standards and channel effects. Research on the topic has thus far only made use of program codecs and other telephone channel emulations. Such emulations does not quite match the real telephone spoofing attacks.

Biometric security systems based on predefined speech sentences are extremely common nowadays, particularly in low-cost applications where the simplicity of the hardware involved is a great advantage. Audio spoofing verification is the problem of detecting whether a speech segment acquired from such a system is genuine, or whether it was synthesized or modified by a computer in order to make it sound like an authorized person.