Immersive-Audio technologies are widely used to build experimental and commercial audio
systems. However, most of them are based on standard PCs, which introduce performance …

Beamforming is a signal processing technique that improves the signal strength received
from a specific location. It is already used for many decades in telecommunications, while …

This paper presents a method for blind beamforming with application in realtime speech
extraction in a non-stationary environment. The blind beamforming is carried out using an …

This article studies noised Asian speech enhancement based on the deep neural network
(DNN) and its implementation on an app. We use the THCHS-30 speech dataset and the …

Acoustic disturbances influence human speech communication by interfering with the
communication process. In the worst case, it is impossible to communicate at all due to these …

This paper focuses on realtime speech extraction using blind adaptive beamforming. The
speech extraction is carried out using an approximation of the kurtosis measure in a …

Implementation of novel algorithms on Digital Signal Processing [DSP] processor to extract
the speech signal from a noisy signal is always of immense interest. Speech signals are …

In this paper, we propose a minimal programming model that is tailored to audio
Beamforming applications. The model consists of nine instructions that provide high …

Abstract Machine learning algorithm to enhance the complex speech signal for mobile
communication is one of the research problems in signal processing. The objective of this …

The audio Beamforming (BF) technique utilizes microphone arrays to extract acoustic
sources recorded in a noisy environment. In this article, we propose a new approach for …