The goal of this work is to determine the audio-video synchronisation between mouth motion
and speech in a video. We propose a two-stream ConvNet architecture that enables the …

Audio-visual speech recognition (AVSR) is one of the most promising solutions for reliable
speech recognition, particularly when audio is corrupted by noise. Additional visual …

In recent decades, we have witnessed the evolution of biometric technology from the first
pioneering works in face and voice recognition to the current state of development wherein a …

Biometric recognition is a trending technology that uses unique characteristics data to
identify or verify/authenticate security applications. Amidst the classically used biometrics …

Audio–visual recognition (AVR) has been considered as a solution for speech recognition
tasks when the audio is corrupted, as well as a visual recognition method used for speaker …

Aspects described herein are directed towards methods, computing devices, systems, and
computer-readable media that apply scattering operations to extracted visual features of …

When talking to the dialog robots, users have to activate the robot first from the standby
mode with special wake words, such as" Hey Siri", which is apparently not user-friendly. The …

Biometrics is the state of the art in dealing with identity identification and verification based
on the physical and behavioral characteristics and widely used in the fields of Fintech, such …

In this paper, we address the problem of automatically detecting whether the audio and
visual speech modalities in frontal pose videos are synchronous or not. This is of interest in …

Our objective is to index people in a TV-Content. In this context, because of multi-face shots
and non-speaking face shots, it is difficult to determine which face is speaking. There is no …