Speech enhancement plays an essential role in a wide range of speech processing
applications. Recent studies on speech enhancement tend to investigate how to effectively …

With the development of deep neural networks, speech enhancement technology has been
vastly improved. However, commonly used speech enhancement approaches cannot fully …

Recent years have seen a significant amount of studies in the area of speech enhancement.
This review looks at several speech improvement methods as well as Deep Neural Network …

Recent multi-domain processing methods have demonstrated promising performance for
monaural speech enhancement tasks. However, few of them explain why they behave better …

To further improve the quality of the enhanced speech, it is appealing that more profound
articulatory and auditory knowledge should be introduced into the speech enhancement …

A promising approach for speech dereverberation is based on supervised learning, where a
deep neural network (DNN) is trained to predict the direct sound from noisy-reverberant …

A recent trend in deep neural network (DNN)-based speech enhancement consists of using
intelligibility and quality metrics as loss functions for model training with the aim of achieving …

Temporal modulation processing is a promising technique for improving the intelligibility and
quality of speech in noise. We propose a speech enhancement algorithm that constructs the …

Recently, Transformer shows the potential to exploit the long-range sequence dependency
in speech with self-attention. It has been introduced in single channel speech enhancement …

Future wearable technology may provide for enhanced communication in noisy
environments and for the ability to pick out a single talker of interest in a crowded room …