Deep neural networks often suffer from poor performance or even training failure due to the
ill-conditioned problem, the vanishing/exploding gradient problem, and the saddle point …

Although there are methods of artificial intelligence (AI) applied to virtual reality (VR)
solutions, there are few studies in the literature. Thus, to fill this gap, we performed a …

In this paper, a holistic solution for Smart Home Security is implemented which helps in
improving privacy and security using two independent and emerging technologies of facial …

The performance of speech recognition tasks utilizing systems based on deep learning has
improved dramatically in recent years by utilizing different deep designs and learning …

Purpose Speech disorders profoundly impact the overall quality of life by impeding social
operations and hindering effective communication. This study addresses the gap in …

The success of automatic speech recognition (ASR) benefits a great number of healthy
people, but not people with disorders. The speech disordered may truly need support from …

Assistive speech technology is a challenging task because of the impaired nature of
dysarthric speech, such as breathy voice, strained speech, distorted vowels, and …

This paper first presents a systematic literature review of artificial intelligence (AI) methods
used in virtual reality (VR) solutions. Based on the systematic literature review, a …

As an essential technology in human–computer interactions, automatic speech recognition
(ASR) ensures a convenient life for healthy people; however, people with speech disorders …

The discriminating information about dysarthria exists at the fine level in the short-time
Fourier transform magnitude spectra (STFT-MS). To capture the discriminating information …