Intelligent English Translation Based on Intelligent Speech Waveform Analysis

Abstract

In order to improve the effectiveness of an intelligent English translation, this paper combines intelligent speech waveform technology to construct an intelligent English translation system. When the modulation method of each signal component is known, this paper takes the overlapping point as the fitting point set and performs fitting with each data point. Moreover, this paper takes the obtained modulation method parameters as eigenvectors and finally performs clustering to obtain the parameter estimation of each single-component signal. In addition, in the case of overlapping points between each linear English speech waveform dataset, this paper finds the overlapping points and processes the overlapping point sets. The simulation test and data statistical analysis results show that the intelligent English translation method based on intelligent speech waveform analysis proposed in this paper can effectively improve the effect of English translation.