Speech enhancement and speech separation are two related tasks, whose purpose is to
extract either one or more target speech signals, respectively, from a mixture of sounds …

Face Recognition is considered one of the most common biometric solutions these days and
is widely used across a range of devices for various security purposes. The performance of …

Sentiment analysis aims to automatically classify the subject's sentiment (eg, positive,
negative, or neutral) towards a particular aspect such as a topic, product, movie, news, etc …

Most recent works on sentiment analysis have exploited the text modality. However, millions
of hours of video recordings posted on social media platforms everyday hold vital …

Speech recognition refers to the capability of software or hardware to receive a speech
signal, identify the speaker's features in the speech signal, and recognize the speaker …

Abstract Despite conditional Neural Radiance Fields (NeRF) achieving great success in
modeling audio-driven talking portraits, the generation quality is increasingly hampered by …

Offline Arabic Handwriting Recognition (OAHR) has recently become instrumental in the
areas of pattern recognition and image processing due to its application in several fields …

The atrial fibrillation (AF) is one of the most well-known cardiac arrhythmias in clinical
practice, with a prevalence of 1–2% in the community, which can increase the risk of stroke …

Over the past few years, larger and deeper neural network models, particularly convolutional
neural networks (CNNs), have consistently advanced state-of-the-art performance across …

Until now, clinicians are not able to evaluate the Psychogenic Non-Epileptic Seizures
(PNES) from the rest-electroencephalography (EEG) readout. No EEG marker can help …