Study about Chinese Speech Synthesis Algorithm and Acoustic Model Based on Wireless Communication Network

Abstract

Chinese speech synthesis refers to the technology that machines transform human speech signals into corresponding texts or commands through recognition and understanding. This paper combines the classic VAD and GSM VAD1 algorithm simulations, improves on the above two algorithms to recognize and collect speech, and analyzes their Chinese proficiency by amplifying the signal through a filter, in order to study the adulthood of Zhengzhou University in Southeast Asian students (mother tongues are Indonesian and Thai) as the research objects, to explore the relationship between the Chinese phonetic proficiency and the acquisition motivation of Southeast Asian students. This article combines algorithm and language disciplines. According to the results of Praat and SPSS: 55-80 points account for 70%, 55 points below 20% and 80 points above 10%, we find that intrinsic motivation plays a role in CSL acquisition, a vital role. Intrinsic motivation can help mature learners from Southeast Asia to acquire Chinese better and better. The earlier you learn Chinese, the higher your motivation, and the easier it is to set your Chinese learning goals. The greater the enthusiasm for learning Chinese, the better the Chinese scores (such as HSK test scores and Chinese phonetic test scores). Therefore, the Chinese proficiency of international students has a great relationship with their interest in Chinese language, that is, the greater the interest in Chinese, the stronger their motivation to learn, and the Chinese proficiency will be very good.