Audio deepfake detection is an emerging active topic. A growing number of literatures have
aimed to study deepfake detection algorithms and achieved effective performance, the …

Automatic speaker verification (ASV) systems are enhanced enough, that industry is
attracted to use them practically in security systems. However, vulnerability of these systems …

We abstract the features (ie learned representations) of multi-modal data into 1) uni-modal
features, which can be learned from uni-modal training, and 2) paired features, which can …

Learning rich visual representations using contrastive self-supervised learning has been
extremely successful. However, it is still a major question whether we could use a similar …

The state of charge (SoC) estimation is essential for many battery-related applications, such
as electric vehicles, unmanned aerial vehicles, and uninterruptible power supplies. This …

The discipline of Deep Learning has been recognized for its strong computational tools,
which have been extensively used in data and signal processing, with innumerable …

Abstract Human Activity Recognition (HAR) has emerged as a major player in this era of
cutting-edge technological advancement. A key role that HAR plays is its ability to remotely …

Learning multi-modal representations is an essential step towards real-world robotic
applications, and various multi-modal fusion models have been developed for this purpose …

Spoof speech can be used to try and fool speaker verification systems that determine the
identity of the speaker based on voice characteristics. This paper compares popular …

The periodic inspection of railroad tracks is very important to find structural and geometrical
problems that lead to railway accidents. Currently, in Pakistan, rail tracks are inspected by …