This paper presents recent advances in low-latency, single-channel, deep neural network-
based speech enhancement systems. The sources of latency and their acceptable values in …

In real rooms, recorded speech usually contains reverberation, which degrades the quality
and intelligibility of the speech. It has proven effective to use neural networks to estimate …

When designing fully-convolutional neural network, there is a trade-off between receptive
field size, number of parameters and spatial resolution of features in deeper layers of the …

In this paper, an audio-visual model for separating a speech of the target speaker from a
combination of other speakers' speeches is proposed. It can be used in speech separation …

In this article a new neural network for speech enhancement is proposed where single-
channel noisy speech is processed in order to improve its intelligibility and quality. It is …

Monaural speech enhancement aims to remove background noise from an audio recording
containing speech in order to improve its clarity and intelligibility. Currently, the most …

In multimedia intelligent systems, speech enhancement is commonly employed to improve
the quality of speech signals, making them clearer and more natural. Current deep learning …

Wind noise interference can adversely affect the performance of behind-the-ear hearing
aids, particularly when used outdoors. In this study, we developed a novel strategy to …

The redundant convolutional encoder-decoder network has proven useful in speech
enhancement tasks. It can capture localized time-frequency details of speech signals …

The rapid development of Internet of Things (IoT) technology has enabled the emergence of
the Internet of Medical Things (IoMT), especially in body area network applications. To …