This paper presents a time-frequency masking based online multi-channel speech
enhancement approach that uses a convolutional recurrent neural network to estimate the …

A synthetic aperture navigation (SAN) system that exploits downlink cellular long-term
evolution (LTE) signals and an inertial measurement unit (IMU) is developed. The system is …

Many purely neural network based speech separation approaches have been proposed to
improve objective assessment scores, but they often introduce nonlinear distortions that are …

This paper presents a review on adaptive Beamforming techniques for speech
enhancement. Most of the speech enhancement techniques suffer from degradation of …

Differential microphone arrays (DMAs), which are responsive to the differential sound
pressure field, have attracted much attention due to their properties of frequency-invariant …

The steered response power (SRP) algorithms have been shown to be among the most
effective and robust ones in noisy environments for direction of arrival (DOA) estimation. In …

A weighted minimum variance distortionless response (WMVDR) algorithm for near-field
sound localization in a reverberant environment is presented. The steered response power …

Measuring the quality of noisy speech signals has been an increasingly important problem
in the field of speech processing as more and more speech-communication and human …

Adaptive beamforming combined with post-filtering is one of the most widely used
techniques in suppressing directional interference and environmental ambient noise, as well …

Superdirective beamforming has attracted a significant amount of research interest in
speech and audio applications, since it can maximize the directivity factor (DF) given an …