Deep reinforcement learning (DRL) is poised to revolutionise the field of artificial intelligence
(AI) by endowing autonomous systems with high levels of understanding of the real world …

Stuttering is a speech disorder during which the flow of speech is interrupted by involuntary
pauses and repetition of sounds. Stuttering identification is an interesting interdisciplinary …

Many recent methods for unsupervised representation learning train models to be invariant
to different" views," or distorted versions of an input. However, designing these views …

Voice User Interfaces (VUIs) are increasingly popular and built into smartphones, home
assistants, and Internet of Things (IoT) devices. Despite offering an always-on convenient …

In recent years, reinforcement learning and bandits have transformed a wide range of real-
world applications including healthcare, finance, recommendation systems, robotics, and …

This paper introduces StutterNet, a novel deep learning based stuttering detection capable
of detecting and identifying various types of disfluencies. Most of the existing work in this …

Background Violence and aggression are significant workplace challenges faced by
clinicians worldwide. Traditional methods of training consist of “on-the-job learning” and role …

Despite the recent progress in speech emotion recognition (SER), state-of-the-art systems
lack generalisation across different conditions. A key underlying reason for poor …

Speaker recognition is related to human biometrics dealing with the identification of
speakers from their speech. Speaker recognition is an active research area and being …

Supervised machine learning-enabled mapping of the X-ray absorption near edge structure
(XANES) spectra to local structural descriptors offers new methods for understanding the …