Designing reliable user authentication on mobile phones is becoming an increasingly
important task to protect users' private information and data. Since biometric approaches can …

This article provides a detailed review of recent advances in audio-visual speech
recognition (AVSR) methods that have been developed over the last decade (2013–2023) …

We present VC3, the first system that allows users to run distributed MapReduce
computations in the cloud while kee** their code and data secret, and ensuring the …

We introduce a seemingly impossible task: given only an audio clip of someone speaking,
decide which of two face images is the speaker. In this paper we study this, and a number of …

We propose and investigate an identity sensitive joint embedding of face and voice. Such an
embedding enables cross-modal retrieval from voice to face and from face to voice. We …

Automated speaker recognition uses data processing to identify speakers by their voice.
Today, automated speaker recognition is deployed on billions of smart devices and in …

Voice biometric authentication is increasingly gaining adoption in organisations with high-
volume identity verifications and for providing access to physical and other virtual spaces. In …

We present a large-scale study exploring the capability of temporal deep neural networks to
interpret natural human kinematics and introduce the first method for active biometric …

Automatic speaker verification (ASV) systems are subject to various kinds of malicious
attacks. Replay, voice conversion and speech synthesis attacks drastically degrade the …

Pattern recognition and machine learning research work often contains experimental results
on real-world data, which corroborates hypotheses and provides a canvas for the …