The field of speech processing has undergone a transformative shift with the advent of deep
learning. The use of multiple processing layers has enabled the creation of models capable …

Removing background noise from speech audio has been the subject of considerable effort,
especially in recent years due to the rise of virtual communication and amateur recordings …

Single channel speech enhancement has reached a great progress recently with the
development of deep learning. However, it is still a challenging problem to achieve …

Recent literature has shown that denoising diffusion probabilistic models (DDPMs) can be
used to synthesize high-fidelity samples with a competitive (or sometimes better) quality than …

Speech enhancement (SE) aims to improve the intelligibility and perceptual quality of
speech contaminated by noise signals through spectral or temporal changes. Deep learning …

Generally, the recorded speech signal is corrupted by both room reverberation and
background noise leading to a reduced speech quality and intelligibility. In order to deal with …

Abstract Internet of Medical Things (IoMT) is basically the use of the Internet of Things (IoT)
in Smart Healthcare where automation in health monitoring is provided using Artificial …

In this paper, we present a new supervised speech enhancement approach based on the
cooperative structure of deep autoencoders (DAEs) as generative models and deep neural …

Long short-term memory (LSTM) has been effectively used to represent sequential data in
recent years. However, LSTM still struggles with capturing the long-term temporal …

Speech enhancement (SE) is widely employed in various fields, like speech recognition,
wireless communication, hearing aids, smart home devices. In this manuscript, a Speech …