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 …

Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …

Lip language is an effective method of voice-off communication in daily life for people with
vocal cord lesions and laryngeal and lingual injuries without occupying the hands …

Visual speech recognition (VSR) aims to recognize the content of speech based on lip
movements, without relying on the audio stream. Advances in deep learning and the …

Human-sensitive mechanosensation depends on ionic currents controlled by skin
mechanoreceptors. Inspired by the sensory behavior of skin, we investigate zwitterionic …

Objective. In this paper, we investigate the suitability of imagined speech for brain–computer
interface (BCI) applications. Approach. A novel method based on covariance matrix …

This work introduces a silent speech interface (SSI), proposing a few-layer graphene (FLG)
strain sensing mechanism based on thorough cracks and AI-based self-adaptation …

Surface electroencephalography is a standard and noninvasive way to measure electrical
brain activity. Recent advances in artificial intelligence led to significant improvements in the …

Speech is a complex process involving a wide range of biosignals, including but not limited
to acoustics. These biosignals-stemming from the articulators, the articulator muscle …

Lipreading, ie speech recognition from visual-only recordings of a speaker's face, can be
achieved with a processing pipeline based solely on neural networks, yielding significantly …