Deep learning-based speech-enhancement techniques have recently been an area of
growing interest, since their impressive performance can potentially benefit a wide variety of …

Featured Application Online audio applications such as real-time automatic speech
recognition, sound source localization in service robotics, hearing prosthesis, mobile …

Multi-channel speech enhancement has become an active area of research, demonstrating
excellent performance in recovering desired speech signals from noisy environments …

This study investigates the utilization of complex operations to perform multichannel speech
enhancement in the time domain using a neural network. Previous studies have …

The article notes the complexity and duration of the process of forming a training sample of a
neural network, since the correctness of the sample is checked by assessing the quality of …

In recent years, deep learning models have demonstrated an inherently better ability to
tackle non-linear classification tasks, due to advances in deep learning architectures …

Multiframe maximum a posteriori (MAP) estimators are applied to a single‐microphone
noise reduction problem. Several attempts have been made to exploit the interframe …

DNN-based Speech Enhancement (SE) models suffer from significant performance
degradation in real recordings due to the mismatch between the synthetic datasets …