Abstract
Fresh data on artificial intelligence are presented in a new report. According to news reporting originating from the University of New South Wales by NewsRx correspondents, research stated, “Noise often affects the content of an audio signal, and noise reduction techniques can help retrieve the original speech content.” Our news editors obtained a quote from the research from University of New South Wales: “In recent years, AI-based noise reduction has witnessed rapid development. This article provides a brief introduction to the background and principles of several AI-based noise reduction methods. One of the mentioned methods is an end-to-end time-domain deep learning speech division algorithm, which utilizes a multi-layer CNN network framework. Due to the need for deep network architectures to extract features, it involves a higher computational load. Traditional noise reduction algorithms, on the other hand, are based on researchers’ understanding of noise patterns and modeling. Traditional methods may not perform well on non-stationary noise, but they are relatively simple in terms of algorithmic implementation.”
NETL
NSTL