Application Research of Speech Signal Processing Technology Based on Cloud Computing Platform

Abstract

In recent years, in the context of the rapid development of information technology, artificial intelligence has also developed. People have begun to train machines. Many machines have been able to gradually understand human languagesand perform a series of actions based on language instructions. On this basis, scientific researchers hope that the machine can be more intelligent and humane. In the noise estimation stage, a noise estimation algorithm based on speech detection is used to effectively estimate the noise. Secondly, according to the characteristics of the method of speech noise reduction processing, a method of processing speech noise is realized. Finally, simulation experiments are used to illustrate the effectiveness of the algorithm. Aiming at the shortcomings of traditional speech noise reduction algorithms, improvements were made in adaptive filter estimation. The model's speech noise reduction algorithm was obtained. The cepstrum estimation of speech signals was modified, and the effect of speech enhancement was significantly improved.

Fault Analysis Method of Active Distribution Network Under Cloud Edge Architecture

“…It can achieve efficient pre-processing operations for network collected data at the edge of the network by virtue of the advantages of edge computing devices, such as real-time and lightweight computing. On the cloud platform side of the network, we use artificial intelligence technology, big data storage and analysis technology to analyze and process data, so as to achieve accurate perception and control of network status (Logeswaran, 2021;Sridharan, Domnic, 2021;Zhang, 2021).…”